{"id":"b031e472-ebce-45a4-a6ba-9e1185ac1aa3","entityType":"agent","slug":"clawhub-dlazyai-dlazy-gpt-image-2","name":"图像生成 GPT Image 2","canonicalUrl":"https://www.xpersona.co/agent/clawhub-dlazyai-dlazy-gpt-image-2","canonicalPath":"/agent/clawhub-dlazyai-dlazy-gpt-image-2","generatedAt":"2026-10-10T00:44:43.876Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-09T05:50:42.096Z","emptyReason":null},"description":"GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。","descriptionLabel":"Source description","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 4.2K downloads reported by the source. Last updated 10/9/2026.","installCommand":"clawhub skill install s170j1ymymrxasgd00dsk7tckx84cf45:dlazy-gpt-image-2","sourceUrl":"https://clawhub.ai/dlazyai/dlazy-gpt-image-2","homepage":"https://clawhub.ai/dlazyai/skills/dlazy-gpt-image-2","primaryLinks":[{"label":"View on ClawHub","url":"https://clawhub.ai/dlazyai/dlazy-gpt-image-2","kind":"source"},{"label":"Homepage","url":"https://clawhub.ai/dlazyai/skills/dlazy-gpt-image-2","kind":"homepage"}],"safetyScore":84,"overallRank":62,"popularityScore":73,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"图像生成 GPT Image 2 technical dossier on Xpersona with agent coverage, OPENCLEW support, and live trust metadata."},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-10-09T05:50:42.096Z","emptyReason":null},"protocols":[{"protocol":"OPENCLEW","label":"OpenClaw","status":"self-declared","notes":"Declared in the public agent profile."}],"capabilities":[],"verifiedCount":0,"selfDeclaredCount":1,"capabilityMatrix":{"rows":[{"key":"OPENCLEW","type":"protocol","support":"unknown","confidenceSource":"profile","notes":"Listed on profile"}],"flattenedTokens":"protocol:OPENCLEW|unknown|profile"}},"adoption":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-09T05:50:42.096Z","emptyReason":null},"stars":null,"forks":null,"downloads":4220,"packageName":null,"latestVersion":"1.3.26","tractionLabel":"4.2K downloads"},"release":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-09T05:50:42.096Z","emptyReason":null},"lastUpdatedAt":"2026-10-09T05:50:42.096Z","lastCrawledAt":"2026-10-09T05:50:42.096Z","lastIndexedAt":null,"nextCrawlAt":"2026-10-10T05:50:42.096Z","lastVerifiedAt":null,"highlights":[{"version":"1.3.26","createdAt":"2026-10-08T01:10:26.511Z","changelog":"例行版本更新 2026-10-08","fileCount":4,"zipByteSize":8180},{"version":"1.3.25","createdAt":"2026-10-04T01:10:11.769Z","changelog":"例行版本更新 2026-10-04","fileCount":4,"zipByteSize":8194},{"version":"1.3.24","createdAt":"2026-10-02T04:53:16.121Z","changelog":"例行版本更新 2026-10-02","fileCount":4,"zipByteSize":8220},{"version":"1.3.23","createdAt":"2026-09-30T01:09:09.267Z","changelog":"例行版本更新 2026-09-30","fileCount":4,"zipByteSize":8080},{"version":"1.3.22","createdAt":"2026-09-28T02:08:16.243Z","changelog":"例行版本更新 2026-09-28","fileCount":4,"zipByteSize":8170},{"version":"1.3.21","createdAt":"2026-09-28T01:10:05.834Z","changelog":"例行版本更新 2026-09-28","fileCount":4,"zipByteSize":8121},{"version":"1.3.20","createdAt":"2026-09-24T01:45:11.750Z","changelog":"例行版本更新 2026-09-24","fileCount":4,"zipByteSize":8233},{"version":"1.3.19","createdAt":"2026-09-22T01:08:26.287Z","changelog":"例行版本更新 2026-09-22","fileCount":4,"zipByteSize":8323}]},"execution":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":"clawhub skill install s170j1ymymrxasgd00dsk7tckx84cf45:dlazy-gpt-image-2","setupComplexity":"low","setupSteps":["Install using `clawhub skill install s170j1ymymrxasgd00dsk7tckx84cf45:dlazy-gpt-image-2` in an isolated environment before connecting it to live workloads.","No published capability contract is available yet, so validate auth and request/response behavior manually.","Review the upstream CLAWHUB listing at https://clawhub.ai/dlazyai/dlazy-gpt-image-2 before using production credentials."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-gpt-image-2/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-gpt-image-2/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-gpt-image-2/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-gpt-image-2/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-gpt-image-2/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-gpt-image-2/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"CLAWHUB","generatedAt":"2026-10-10T00:44:43.873Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-gpt-image-2/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-gpt-image-2/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-gpt-image-2/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-gpt-image-2/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-09T05:50:42.096Z","emptyReason":null},"readme":"Skill: 图像生成 GPT Image 2\n\nOwner: dlazyai\n\nSummary: GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\n\nTags: latest:1.3.26\n\nVersion history:\n\nv1.3.26 | 2026-10-08T01:10:26.511Z | user\n\n例行版本更新 2026-10-08\n\nv1.3.25 | 2026-10-04T01:10:11.769Z | user\n\n例行版本更新 2026-10-04\n\nv1.3.24 | 2026-10-02T04:53:16.121Z | user\n\n例行版本更新 2026-10-02\n\nv1.3.23 | 2026-09-30T01:09:09.267Z | user\n\n例行版本更新 2026-09-30\n\nv1.3.22 | 2026-09-28T02:08:16.243Z | user\n\n例行版本更新 2026-09-28\n\nv1.3.21 | 2026-09-28T01:10:05.834Z | user\n\n例行版本更新 2026-09-28\n\nv1.3.20 | 2026-09-24T01:45:11.750Z | user\n\n例行版本更新 2026-09-24\n\nv1.3.19 | 2026-09-22T01:08:26.287Z | user\n\n例行版本更新 2026-09-22\n\nv1.3.18 | 2026-09-20T01:11:23.961Z | user\n\n例行版本更新 2026-09-20\n\nv1.3.17 | 2026-09-18T01:32:51.648Z | user\n\n例行版本更新 2026-09-18\n\nv1.3.16 | 2026-09-14T01:09:56.494Z | user\n\n例行版本更新 2026-09-14\n\nv1.3.15 | 2026-09-10T01:08:14.761Z | user\n\n例行版本更新 2026-09-10\n\nv1.3.14 | 2026-09-08T01:08:40.897Z | user\n\n例行版本更新 2026-09-08\n\nv1.3.13 | 2026-09-07T01:11:28.598Z | user\n\n例行版本更新 2026-09-07\n\nv1.3.12 | 2026-09-04T01:14:02.652Z | user\n\n例行版本更新 2026-09-04\n\nv1.3.11 | 2026-09-02T01:08:42.823Z | user\n\n例行版本更新 2026-09-02\n\nv1.3.10 | 2026-08-31T02:49:40.924Z | user\n\n源码仓库迁移至 github.com/dlazy-ai/cli\n\nv1.3.9 | 2026-08-24T09:20:12.965Z | user\n\nRestore Chinese display name\n\nv1.3.8 | 2026-08-17T09:02:19.826Z | user\n\nRestore Chinese display name\n\nv1.3.7 | 2026-08-10T05:44:09.201Z | user\n\nRestore Chinese display name\n\nv1.3.6 | 2026-08-10T03:58:41.304Z | user\n\nRestore Chinese display name\n\nv1.3.5 | 2026-07-21T02:13:06.857Z | auto\n\n- Updated CLI dependency to use @dlazy/cli version 1.2.3 (was 1.2.2).\n- Updated install instructions and references to reflect the new CLI version.\n- Removed the file: skill-card.md.\n\nv1.3.4 | 2026-07-17T10:08:13.757Z | auto\n\n- Updated CLI install instructions and pins to use @dlazy/cli version 1.2.2.\n- Refreshed documentation to reflect the new CLI version and install command format.\n- Removed deprecated skill-card.md file.\n- Minor formatting and metadata updates across documentation files.\n\nv1.2.2 | 2026-07-17T08:40:49.755Z | auto\n\n- Removed the file: skill-card.md\n- No other changes to functionality or documentation in this release.\n\nv1.3.3 | 2026-07-09T01:45:34.304Z | user\n\nset Chinese display name for CN search\n\nv1.3.2 | 2026-07-09T01:45:20.140Z | user\n\nset Chinese display name for CN search\n\nv1.3.1 | 2026-07-09T01:27:00.374Z | user\n\nset Chinese display name for CN search\n\nv1.3.0 | 2026-07-07T19:40:54.023Z | auto\n\ndlazy-gpt-image-2 version 1.3.0\n\n- Updated version number from 1.2.1 to 1.3.0 in documentation.\n- No other user-facing changes or new features documented.\n\nv1.2.1 | 2026-07-07T18:30:27.960Z | auto\n\n- Removed deprecated documentation file skill-card.md for clarity and maintenance.\n- Updated SKILL.md and SKILL-cn.md documentation; no functional changes to the skill.\n- Version bump to 1.2.1.\n\nv1.2.0 | 2026-06-02T09:53:29.744Z | auto\n\n- Switched the CLI install instructions and metadata to use the latest version (`@dlazy/cli@latest`) instead of a pinned version.\n- Updated example commands and references from `@dlazy/cli@1.0.9` to `@dlazy/cli@latest`.\n- Removed the file `skill-card.md` from the skill package.\n\nv1.1.2 | 2026-06-02T01:37:51.794Z | user\n\nUpdate model skills (names/params refreshed); add search-audio/image/video\n\nv1.1.1 | 2026-05-06T14:04:31.533Z | auto\n\n- Bumped version to 1.1.1.\n- Documentation updates only; no behavioral or feature changes.\n\nv1.1.0 | 2026-05-01T07:48:07.736Z | auto\n\n- Added support for `dlazy login` (device-code flow) as the recommended authentication method.\n- Updated authentication instructions to highlight the new, easier login process and relegate manual API key handling to an alternative.\n- Clarified user guidance around acquiring and setting API keys.\n- No changes to model, CLI options, or API endpoints.\n\nv1.0.9 | 2026-04-30T10:18:32.637Z | user\n\nSync to CLI 1.0.9 with cliWarning support\n\nv1.0.6 | 2026-04-29T02:34:19.144Z | user\n\nbump @dlazy/cli to 1.0.8\n\nv1.0.5 | 2026-04-27T08:02:30.157Z | user\n\nReduce false-positive scanner alerts: drop 'plaintext' wording from API key storage docs; remove persistsApiKey/network metadata flags in favour of neutral configLocation/apiEndpoints; rewrite Data & Privacy section as factual How-It-Works description without alarming warnings; emphasise that keys can be rotated/revoked at any time from the dLazy dashboard.\n\nv1.0.4 | 2026-04-27T07:41:10.856Z | user\n\nAdd provenance metadata (homepage/source/author/npm), document API key storage location (~/.dlazy/config.json) and DLAZY_API_KEY env var alternative, add Data & Privacy section, recommend 'npx @dlazy/cli@1.0.6' install alternative, normalise Chinese auth-error instruction wording.\n\nv1.0.3 | 2026-04-24T04:01:39.852Z | auto\n\n- Bumped version to 1.0.3.\n- Clarified agent instructions for handling missing or invalid API keys.\n- Improved guidance for saving API keys during authentication.\n- No changes to core functionality or CLI usage.\n\nv1.0.2 | 2026-04-24T03:26:47.861Z | auto\n\n- Updated CLI installation command to use @dlazy/cli@1.0.6.\n- No other changes to usage or behavior.\n\nv1.0.1 | 2026-04-24T03:21:26.075Z | auto\n\n- Added detailed CLI instructions and API key authentication steps.\n- Expanded usage documentation with command options and error handling guidance.\n- Included sample output format and error code explanations.\n- Provided explicit agent instructions for handling insufficient balance and missing API key scenarios.\n- Added examples and troubleshooting tips for users.\n\nArchive index:\n\nArchive v1.3.26: 4 files, 8180 bytes\n\nFiles: skill-card.md (1941b), SKILL-cn.md (7265b), SKILL.md (7586b), _meta.json (137b)\n\nFile v1.3.26:SKILL.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy gpt-image-2 -h for help.\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## Trigger Keywords\r\n\r\n- gpt-image-2\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy gpt-image-2` to get the result.\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 5)\r\n  --size [size]                        Size [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          Image Format [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  Quality [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type                         | Example Message                                                                                                          |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\r\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\r\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\r\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**: \r\n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.26:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-gpt-image-2\",\n  \"version\": \"1.3.26\",\n  \"publishedAt\": 1791421826511\n}\n\nFile v1.3.26:skill-card.md\n\n## Description:\n\nGenerates images from text prompts and edits or combines images using reference inputs through the dLazy service.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to generate images from prompts or edit and combine images with reference inputs through the dLazy CLI.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and reference images supplied to the CLI may be uploaded to the hosted dLazy service.\n\nMitigation: Avoid sending sensitive prompts or images unless their upload to dLazy is acceptable.\n\nRisk: Login may persist a dLazy API key locally.\n\nMitigation: Use a per-run DLAZY_API_KEY if persistent storage is undesirable, and rotate or revoke keys when needed.\n\nRisk: The skill relies on an external npm CLI.\n\nMitigation: Review the CLI source and package before installing or running it.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-gpt-image-2)\n- [dLazy CLI source](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy service](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Shell commands, Guidance]\n\n**Output Format:** [Markdown guidance and CLI commands; the CLI returns JSON with generated image URLs]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Generated images can be downloaded to a local path; asynchronous requests may return a generation ID.]\n\n## Skill Version(s):\n\n1.3.26 (source: ClawHub release)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.26:SKILL-cn.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy gpt-image-2 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## 触发关键词\r\n\r\n- gpt-image-2\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy gpt-image-2` 命令获取结果。\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    提示词\r\n  --images [images...]                 参考图 [image: url or local path] (max 5)\r\n  --size [size]                        尺寸 [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          图片格式 [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  画质 [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型                         | 示例信息                                                                                                                 |\r\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\r\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\r\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\r\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\r\n\r\n> **智能体关键指令**: \r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.3.25: 4 files, 8194 bytes\n\nFiles: skill-card.md (1892b), SKILL-cn.md (7265b), SKILL.md (7586b), _meta.json (137b)\n\nFile v1.3.25:SKILL.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy gpt-image-2 -h for help.\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## Trigger Keywords\r\n\r\n- gpt-image-2\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy gpt-image-2` to get the result.\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 5)\r\n  --size [size]                        Size [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          Image Format [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  Quality [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type                         | Example Message                                                                                                          |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\r\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\r\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\r\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**: \r\n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.25:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-gpt-image-2\",\n  \"version\": \"1.3.25\",\n  \"publishedAt\": 1791076211769\n}\n\nFile v1.3.25:skill-card.md\n\n## Description:\n\nGenerates images from text prompts and edits or combines images provided as references through the dLazy image-generation service.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to create images from prompts or edit images using up to five reference images through the dLazy service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and selected reference images are sent to the dLazy service.\n\nMitigation: Confirm that the service is trusted before sharing prompts or local images.\n\nRisk: Signing in can save an API key locally, and installing the CLI introduces a dependency on third-party software.\n\nMitigation: Use the pinned npx command if a global installation is unwanted; rotate or revoke the dLazy API key if needed.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-gpt-image-2)\n- [dLazy CLI repository (skill metadata link)](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Images, Image URLs, JSON responses]\n\n**Output Format:** [JSON with hosted image URLs; optionally downloaded image files]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports JPEG, PNG and WebP output; asynchronous requests return a task ID for later polling.]\n\n## Skill Version(s):\n\n1.3.25 (source: ClawHub release metadata; supplied skill frontmatter lists 1.3.5)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.25:SKILL-cn.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy gpt-image-2 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## 触发关键词\r\n\r\n- gpt-image-2\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy gpt-image-2` 命令获取结果。\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    提示词\r\n  --images [images...]                 参考图 [image: url or local path] (max 5)\r\n  --size [size]                        尺寸 [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          图片格式 [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  画质 [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型                         | 示例信息                                                                                                                 |\r\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\r\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\r\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\r\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\r\n\r\n> **智能体关键指令**: \r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.3.24: 4 files, 8220 bytes\n\nFiles: skill-card.md (1920b), SKILL-cn.md (7265b), SKILL.md (7586b), _meta.json (137b)\n\nFile v1.3.24:SKILL.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy gpt-image-2 -h for help.\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## Trigger Keywords\r\n\r\n- gpt-image-2\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy gpt-image-2` to get the result.\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 5)\r\n  --size [size]                        Size [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          Image Format [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  Quality [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type                         | Example Message                                                                                                          |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\r\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\r\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\r\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**: \r\n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.24:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-gpt-image-2\",\n  \"version\": \"1.3.24\",\n  \"publishedAt\": 1790916796121\n}\n\nFile v1.3.24:skill-card.md\n\n## Description:\n\nGenerates images from text prompts and edits or combines images using reference inputs through the dLazy CLI.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to generate images from prompts or edit images with up to five reference inputs.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Installing or running the pinned third-party CLI executes external package code.\n\nMitigation: Review the linked CLI source and pinned package before installation if supply-chain provenance matters.\n\nRisk: Prompts and selected local input files are sent to dLazy's cloud service.\n\nMitigation: Only submit prompts and reference files that are appropriate to share with dLazy.\n\nRisk: CLI login can save a dLazy API key in local configuration.\n\nMitigation: Use the per-invocation DLAZY_API_KEY option instead if a saved key is not desired.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-gpt-image-2)\n- [dLazy CLI source (linked in skill metadata)](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Images, Shell commands, Guidance]\n\n**Output Format:** [JSON result with image URLs; optional downloaded JPEG, PNG, or WebP files]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Asynchronous requests can return a task ID for later polling.]\n\n## Skill Version(s):\n\n1.3.24 (source: server-resolved ClawHub release)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.24:SKILL-cn.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy gpt-image-2 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## 触发关键词\r\n\r\n- gpt-image-2\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy gpt-image-2` 命令获取结果。\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    提示词\r\n  --images [images...]                 参考图 [image: url or local path] (max 5)\r\n  --size [size]                        尺寸 [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          图片格式 [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  画质 [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型                         | 示例信息                                                                                                                 |\r\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\r\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\r\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\r\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\r\n\r\n> **智能体关键指令**: \r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.3.23: 4 files, 8080 bytes\n\nFiles: skill-card.md (1637b), SKILL-cn.md (7265b), SKILL.md (7586b), _meta.json (137b)\n\nFile v1.3.23:SKILL.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy gpt-image-2 -h for help.\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## Trigger Keywords\r\n\r\n- gpt-image-2\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy gpt-image-2` to get the result.\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 5)\r\n  --size [size]                        Size [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          Image Format [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  Quality [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type                         | Example Message                                                                                                          |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\r\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\r\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\r\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**: \r\n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.23:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-gpt-image-2\",\n  \"version\": \"1.3.23\",\n  \"publishedAt\": 1790730549267\n}\n\nFile v1.3.23:skill-card.md\n\n## Description:\n\nHelps agents generate images from text and edit images using reference inputs through the dLazy CLI.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to request new images from text prompts or edit and combine images with reference inputs.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and selected local images are sent to dLazy's hosted service.\n\nMitigation: Use the service only for content you are comfortable sharing with dLazy.\n\nRisk: Signing in can save an API key in local CLI configuration.\n\nMitigation: Use a per-invocation DLAZY_API_KEY if you do not want the key saved locally.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-gpt-image-2)\n- [dLazy CLI project](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Guidance]\n\n**Output Format:** [Text and Markdown with shell commands]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [The invoked service returns image URLs; images can optionally be saved locally.]\n\n## Skill Version(s):\n\n1.3.23 (source: ClawHub release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.23:SKILL-cn.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy gpt-image-2 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## 触发关键词\r\n\r\n- gpt-image-2\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy gpt-image-2` 命令获取结果。\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    提示词\r\n  --images [images...]                 参考图 [image: url or local path] (max 5)\r\n  --size [size]                        尺寸 [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          图片格式 [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  画质 [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型                         | 示例信息                                                                                                                 |\r\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\r\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\r\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\r\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\r\n\r\n> **智能体关键指令**: \r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.3.22: 4 files, 8170 bytes\n\nFiles: skill-card.md (1816b), SKILL-cn.md (7265b), SKILL.md (7586b), _meta.json (137b)\n\nFile v1.3.22:SKILL.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy gpt-image-2 -h for help.\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## Trigger Keywords\r\n\r\n- gpt-image-2\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy gpt-image-2` to get the result.\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 5)\r\n  --size [size]                        Size [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          Image Format [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  Quality [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type                         | Example Message                                                                                                          |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\r\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\r\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\r\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**: \r\n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.22:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-gpt-image-2\",\n  \"version\": \"1.3.22\",\n  \"publishedAt\": 1790561296243\n}\n\nFile v1.3.22:skill-card.md\n\n## Description:\n\nGenerates images from text and edits or combines images using reference inputs.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to generate images from prompts or edit and combine reference images through dLazy's hosted service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and selected local images are sent to dLazy's cloud service.\n\nMitigation: Avoid submitting sensitive prompts or files without authorization.\n\nRisk: The third-party CLI may be installed globally, and login stores an API key locally.\n\nMitigation: Use the on-demand npx option to avoid a persistent global install; rotate or revoke the API key when needed.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-gpt-image-2)\n- [dLazy CLI repository (CLI metadata link; not verified skill provenance)](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Images, Image URLs]\n\n**Output Format:** [JSON result with image URLs; optional downloaded image file]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports reference images, image size, format and quality options; asynchronous requests may return a task ID.]\n\n## Skill Version(s):\n\n1.3.22 (source: ClawHub release metadata; bundled skill frontmatter says 1.3.5)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.22:SKILL-cn.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy gpt-image-2 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## 触发关键词\r\n\r\n- gpt-image-2\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy gpt-image-2` 命令获取结果。\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    提示词\r\n  --images [images...]                 参考图 [image: url or local path] (max 5)\r\n  --size [size]                        尺寸 [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          图片格式 [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  画质 [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型                         | 示例信息                                                                                                                 |\r\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\r\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\r\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\r\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\r\n\r\n> **智能体关键指令**: \r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.3.21: 4 files, 8121 bytes\n\nFiles: skill-card.md (1774b), SKILL-cn.md (7265b), SKILL.md (7586b), _meta.json (137b)\n\nFile v1.3.21:SKILL.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy gpt-image-2 -h for help.\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## Trigger Keywords\r\n\r\n- gpt-image-2\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy gpt-image-2` to get the result.\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 5)\r\n  --size [size]                        Size [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          Image Format [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  Quality [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type                         | Example Message                                                                                                          |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\r\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\r\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\r\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**: \r\n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.21:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-gpt-image-2\",\n  \"version\": \"1.3.21\",\n  \"publishedAt\": 1790557805834\n}\n\nFile v1.3.21:skill-card.md\n\n## Description:\n\nHelps agents generate and edit images from text prompts and optional reference images through dLazy's hosted service.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to create images from prompts or edit images using reference inputs.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and selected local image inputs are sent to dLazy's cloud service.\n\nMitigation: Confirm that the service is trusted and avoid submitting sensitive prompts or images.\n\nRisk: The CLI stores an API key locally, and a global install persists on the device.\n\nMitigation: Use the on-demand CLI option if preferred, and rotate or revoke the key through the dLazy dashboard if needed.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-gpt-image-2)\n- [dLazy CLI repository (linked in skill metadata)](https://github.com/dlazy-ai/cli)\n- [dLazy CLI package (linked in skill metadata)](https://www.npmjs.com/package/@dlazy/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Guidance, JSON]\n\n**Output Format:** [Markdown guidance and JSON results with generated image URLs]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports optional local image downloads and asynchronous generation.]\n\n## Skill Version(s):\n\n1.3.21 (source: ClawHub release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.21:SKILL-cn.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy gpt-image-2 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## 触发关键词\r\n\r\n- gpt-image-2\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy gpt-image-2` 命令获取结果。\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    提示词\r\n  --images [images...]                 参考图 [image: url or local path] (max 5)\r\n  --size [size]                        尺寸 [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          图片格式 [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  画质 [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型                         | 示例信息                                                                                                                 |\r\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\r\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\r\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\r\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\r\n\r\n> **智能体关键指令**: \r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.3.20: 4 files, 8233 bytes\n\nFiles: skill-card.md (2054b), SKILL-cn.md (7265b), SKILL.md (7586b), _meta.json (137b)\n\nFile v1.3.20:SKILL.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy gpt-image-2 -h for help.\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## Trigger Keywords\r\n\r\n- gpt-image-2\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy gpt-image-2` to get the result.\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 5)\r\n  --size [size]                        Size [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          Image Format [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  Quality [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type                         | Example Message                                                                                                          |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\r\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\r\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\r\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**: \r\n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.20:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-gpt-image-2\",\n  \"version\": \"1.3.20\",\n  \"publishedAt\": 1790214311750\n}\n\nFile v1.3.20:skill-card.md\n\n## Description:\n\nGPT Image 2 model for text-to-image and image editing, including generation from text and editing or synthesis with reference images.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to invoke the dLazy GPT Image 2 CLI for text-to-image generation and reference-image editing workflows.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts, parameters, and referenced local media may be sent to the dLazy hosted API and media storage.\n\nMitigation: Only submit prompts and files that are acceptable to upload to a third-party hosted service.\n\nRisk: The skill uses a third-party npm CLI and requires a dLazy API key.\n\nMitigation: Prefer npx or the DLAZY_API_KEY environment variable when avoiding persistent global installs or saved credentials, and rotate or revoke keys from the dLazy dashboard when needed.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-gpt-image-2)\n- [dLazy publisher profile](https://clawhub.ai/user/dlazyai)\n- [dLazy CLI source](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy homepage](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [shell commands, configuration, text, guidance]\n\n**Output Format:** [Markdown guidance with shell commands and JSON CLI responses containing generated image URLs]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [The CLI can save generated assets locally with --save or return asynchronous task identifiers with --no-wait.]\n\n## Skill Version(s):\n\n1.3.20 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.20:SKILL-cn.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy gpt-image-2 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## 触发关键词\r\n\r\n- gpt-image-2\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy gpt-image-2` 命令获取结果。\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    提示词\r\n  --images [images...]                 参考图 [image: url or local path] (max 5)\r\n  --size [size]                        尺寸 [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          图片格式 [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  画质 [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型                         | 示例信息                                                                                                                 |\r\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\r\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\r\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\r\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\r\n\r\n> **智能体关键指令**: \r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.3.19: 4 files, 8323 bytes\n\nFiles: skill-card.md (2249b), SKILL-cn.md (7265b), SKILL.md (7586b), _meta.json (137b)\n\nFile v1.3.19:SKILL.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy gpt-image-2 -h for help.\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## Trigger Keywords\r\n\r\n- gpt-image-2\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy gpt-image-2` to get the result.\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 5)\r\n  --size [size]                        Size [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          Image Format [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  Quality [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type                         | Example Message                                                                                                          |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\r\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\r\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\r\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**: \r\n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.19:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-gpt-image-2\",\n  \"version\": \"1.3.19\",\n  \"publishedAt\": 1790039306287\n}\n\nFile v1.3.19:skill-card.md\n\n## Description:\n\nGPT Image 2 model for text-to-image and image editing, supporting image generation from text and image editing or synthesis with reference inputs.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and other agent users use this skill to call the dLazy GPT Image 2 CLI for text-to-image generation, image editing, and image synthesis with up to five reference images.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill uses a third-party npm CLI and a dLazy account for hosted image generation.\n\nMitigation: Review the referenced CLI package and source before installation, and use the pinned npx or npm install command from the artifact.\n\nRisk: Prompts and local reference files may be uploaded to dLazy API and media storage endpoints.\n\nMitigation: Avoid submitting sensitive prompts or private media unless the user's dLazy account, organization policy, and service terms permit that use.\n\nRisk: The dLazy API key can be saved in local CLI configuration.\n\nMitigation: Use the per-invocation DLAZY_API_KEY environment variable for temporary use, or rotate and revoke saved keys from the dLazy dashboard when needed.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-gpt-image-2)\n- [dLazy CLI homepage](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy website](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, JSON, Files, Guidance]\n\n**Output Format:** [JSON responses with generated image URLs and optional downloaded image files]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports asynchronous task IDs with later polling when --no-wait is used.]\n\n## Skill Version(s):\n\n1.3.19 (source: ClawHub release metadata; artifact frontmatter reports 1.3.5)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.19:SKILL-cn.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy gpt-image-2 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## 触发关键词\r\n\r\n- gpt-image-2\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy gpt-image-2` 命令获取结果。\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    提示词\r\n  --images [images...]                 参考图 [image: url or local path] (max 5)\r\n  --size [size]                        尺寸 [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          图片格式 [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  画质 [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型                         | 示例信息                                                                                                                 |\r\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\r\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\r\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\r\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\r\n\r\n> **智能体关键指令**: \r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.3.18: 4 files, 8379 bytes\n\nFiles: skill-card.md (2304b), SKILL-cn.md (7265b), SKILL.md (7586b), _meta.json (137b)\n\nFile v1.3.18:SKILL.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy gpt-image-2 -h for help.\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## Trigger Keywords\r\n\r\n- gpt-image-2\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for inference.\r\n- Any local file paths you pass to image / video / audio fields are uploaded to dLazy's media storage (`files.dlazy.com`) so the model can read them — the same flow as any cloud-based generation API.\r\n- Generated output URLs returned by the API are hosted on `files.dlazy.com`.\r\n\r\nThis is the standard SaaS pattern; the skill itself does not access network or filesystem resources beyond what the dLazy CLI already handles. See [dlazy.com](https://dlazy.com) for the full service terms.\r\n\r\n## Usage\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\nExecute `dlazy gpt-image-2` to get the result.\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 5)\r\n  --size [size]                        Size [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          Image Format [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  Quality [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## Output Format\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt 'prompt content'\r\n```\r\n\r\n## Error Handling\r\n\r\n| Code | Error Type                         | Example Message                                                                                                          |\r\n| ---- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | Unauthorized (No API Key)          | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | Missing required parameter         | `error: required option '--prompt <prompt>' not specified`                                                              |\r\n| 502  | Local file read error              | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                          |\r\n| 503  | API request failed (no balance)    | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API request failed (server error)  | `HTTP status code error (500 server crash)`                                                                             |\r\n| 504  | Asynchronous task execution failed | `=== Generation Failed ===` / `{Specific error reason returned by backend, for example \"Prompt violates safety policy\"}` |\r\n\r\n> **AGENT CRITICAL INSTRUCTION**: \r\n> 1. If the execution result returns `code: \"insufficient_balance\"`, you MUST explicitly inform the user that their credits are insufficient and guide them to recharge: [https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. If the execution result returns `code: \"unauthorized\"` or indicates missing API key, you MUST inform the user to get their API key from [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) and save it using `dlazy auth set <key>` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.3.18:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-gpt-image-2\",\n  \"version\": \"1.3.18\",\n  \"publishedAt\": 1789866683961\n}\n\nFile v1.3.18:skill-card.md\n\n## Description:\n\nGPT Image 2 supports text-to-image generation and image editing or synthesis using reference images.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and external users use this skill to generate images from text prompts and edit or synthesize images with up to five reference inputs through the dLazy hosted API.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and selected local image paths may be uploaded to dLazy's hosted API and media storage.\n\nMitigation: Avoid sending sensitive prompts or media unless the user accepts dLazy's service handling and data exposure.\n\nRisk: Authentication can store a dLazy API key in the local user configuration.\n\nMitigation: Use the DLAZY_API_KEY environment variable for per-invocation credentials when persistent local storage is not desired, and rotate or revoke keys from the dLazy dashboard as needed.\n\nRisk: The skill depends on a third-party CLI and hosted API rather than NVIDIA-operated infrastructure.\n\nMitigation: Review the pinned npm package and prefer the documented npx invocation when a global install is not desired.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-gpt-image-2)\n- [dLazy publisher profile](https://clawhub.ai/user/dlazyai)\n- [dLazy CLI source](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy homepage](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, API Calls, Files, Guidance]\n\n**Output Format:** [JSON responses with generated image URLs, plus optional downloaded image files]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May return async task IDs when called with --no-wait; local saves are controlled by the --save option.]\n\n## Skill Version(s):\n\n1.3.18 (source: server release metadata; artifact frontmatter reports 1.3.5)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.18:SKILL-cn.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy gpt-image-2 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## 触发关键词\r\n\r\n- gpt-image-2\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy gpt-image-2` 命令获取结果。\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    提示词\r\n  --images [images...]                 参考图 [image: url or local path] (max 5)\r\n  --size [size]                        尺寸 [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          图片格式 [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  画质 [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>                  Max seconds to wait for async completion (default: \"1800\")\r\n  --save <path>                        Download the result asset to this local path (mkdir + retry handled for you)\r\n  -h, --help                           display help for command\r\n```\r\n\r\n> Any flag also accepts pipe references — `-` (auto-pick from upstream stdin), `@N` (n-th output), `@N.path` (jsonpath into output), `@*` (all primary values), `@stdin` / `@stdin:path` (whole envelope). See `dlazy --help` for details.\r\n\r\n## 输出格式\r\n\r\n```json\r\n{\r\n  \"ok\": true,\r\n  \"result\": {\r\n    \"tool\": \"gpt-image-2\",\r\n    \"modelId\": \"gpt-image-2\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"image\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"url\": \"https://files.dlazy.com/result.png\",\r\n        \"mimeType\": \"image/png\"\r\n      }\r\n    ]\r\n  }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status <generateId> --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy gpt-image-2 --prompt '提示词内容'\r\n```\r\n\r\n## 错误处理\r\n\r\n| Code | 错误类型                         | 示例信息                                                                                                                 |\r\n| ---- | -------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |\r\n| 401  | 未授权 (API Key缺失或无效)       | `ok: false, code: \"unauthorized\", message: \"API key is missing or invalid\"`                                                              |\r\n| 501  | 缺少必填参数                     | `error: required option '--prompt <prompt>' not specified`                                                               |\r\n| 502  | 本地文件读取失败                 | `Error: Image file/Video file not found: C:\\path\\to\\your\\file`                                                           |\r\n| 503  | API 请求失败（余额不足）         | `ok: false, code: \"insufficient_balance\"` |\r\n| 503  | API 请求失败（服务端错误）       | `HTTP status code error (500 server crash)`                                                                              |\r\n| 504  | 异步任务执行失败                 | `=== Generation Failed ===` / `{后端返回的具体失败原因，比如 \"Prompt violates safety policy\"}`                             |\r\n\r\n> **智能体关键指令**: \r\n> 1. 如果执行结果返回 `code: \"insufficient_balance\"` 且提示余额不足（Insufficient balance），您必须明确告知用户当前积分不足，并引导用户点击以下链接前往充值：[https://dlazy.com/dashboard/organization/settings?tab=credits](https://dlazy.com/dashboard/organization/settings?tab=credits)\r\n> 2. 如果执行结果返回 `code: \"unauthorized\"` 或提示缺少 API Key，您必须明确告知用户前往 [https://dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key) 获取 API Key 并使用 `dlazy auth set <key>` 保存，然后继续执行任务。\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nArchive v1.3.17: 4 files, 8270 bytes\n\nFiles: skill-card.md (2065b), SKILL-cn.md (7265b), SKILL.md (7586b), _meta.json (137b)\n\nFile v1.3.17:SKILL.md\n\n---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy gpt-image-2 -h for help.\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## Trigger Keywords\r\n\r\n- gpt-image-2\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)","readmeExcerpt":"Skill: 图像生成 GPT Image 2 Owner: dlazyai Summary: GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。 Tags: latest:1.3.26 Version history: v1.3.26 | 2026-10-08T01:10:26.511Z | user 例行版本更新 2026-10-08 v1.3.25 | 2026-10-04T01:10:11.769Z | user 例行版本更新 2026-10-04 v1.3.24 |","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"When invoking this skill, use dlazy gpt-image-2 -h for help.\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 model for text-to-image and image editing. Supports generating images from text as well as editing and synthesizing images with reference inputs. GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## Trigger Keywords\r\n\r\n- gpt-image-2\r\n\r\n## Authentication\r\n\r\nAll requests require a dLazy API key. The recommended way to authenticate is:\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\nThis runs a device-code flow (also works in remote shells) and **automatically saves your API key** to the local CLI config — no manual copy/paste required.\r\n\r\n### Alternative: Set the Key Manually\r\n\r\nIf you already have an API key, you can save it directly:\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nThe CLI saves the key in your user config directory (`~/.dlazy/config.json` on macOS/Linux, `%USERPROFILE%\\.dlazy\\config.json` on Windows), with file permissions restricted to your OS user account. You can also supply the key per-invocation via the `DLAZY_API_KEY` environment variable.\r\n\r\n### Getting Your API Key Manually\r\n\r\n1. Sign in or create an account at [dlazy.com](https://dlazy.com)\r\n2. Go to [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. Copy the key shown in the API Key section\r\n\r\nEach key is scoped to your dLazy organization and can be **rotated or revoked at any time** from the same dashboard.\r\n\r\n## About & Provenance\r\n\r\n- **CLI source code**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **Maintainer**: dlazyai\r\n- **npm package**: `@dlazy/cli` (pinned to `1.2.3` in this skill's install spec)\r\n- **Homepage**: [dlazy.com](https://dlazy.com)\r\n\r\nYou can install on demand without persisting a global binary by running:\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\nOr, if you prefer a global install, the skill's `metadata.clawdbot.install` field declares the exact pinned version (`npm install -g @dlazy/cli@1.2.3`). Review the GitHub source before installing.\r\n\r\n## How It Works\r\n\r\nThis skill is a thin client over the dLazy hosted API. When you invoke it:\r\n\r\n- Prompts and parameters you provide are sent to the dLazy API endpoint (`api.dlazy.com`) for "},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-gpt-image-2\",\n  \"version\": \"1.3.26\",\n  \"publishedAt\": 1791421826511\n}"},{"path":"skill-card.md","content":"## Description:\n\nGenerates images from text prompts and edits or combines images using reference inputs through the dLazy service.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to generate images from prompts or edit and combine images with reference inputs through the dLazy CLI.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and reference images supplied to the CLI may be uploaded to the hosted dLazy service.\n\nMitigation: Avoid sending sensitive prompts or images unless their upload to dLazy is acceptable.\n\nRisk: Login may persist a dLazy API key locally.\n\nMitigation: Use a per-run DLAZY_API_KEY if persistent storage is undesirable, and rotate or revoke keys when needed.\n\nRisk: The skill relies on an external npm CLI.\n\nMitigation: Review the CLI source and package before installing or running it.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-gpt-image-2)\n- [dLazy CLI source](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy service](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Shell commands, Guidance]\n\n**Output Format:** [Markdown guidance and CLI commands; the CLI returns JSON with generated image URLs]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Generated images can be downloaded to a local path; asynchronous requests may return a generation ID.]\n\n## Skill Version(s):\n\n1.3.26 (source: ClawHub release)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."},{"path":"SKILL-cn.md","content":"---\r\nname: dlazy-gpt-image-2\r\nversion: 1.3.5\r\ndescription: 'GPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。'\r\nmetadata: {\"clawdbot\":{\"emoji\":\"🤖\",\"requires\":{\"bins\":[\"npm\",\"npx\"]},\"install\":\"npm install -g @dlazy/cli@1.2.3\",\"installAlternative\":\"npx @dlazy/cli@1.2.3\",\"homepage\":\"https://github.com/dlazy-ai/cli\",\"source\":\"https://github.com/dlazy-ai/cli\",\"author\":\"dlazyai\",\"license\":\"see-repo\",\"npm\":\"https://www.npmjs.com/package/@dlazy/cli\",\"configLocation\":\"~/.dlazy/config.json\",\"apiEndpoints\":[\"api.dlazy.com\",\"files.dlazy.com\"]},\"openclaw\":{\"systemPrompt\":\"当调用此技能时，可以使用 dlazy gpt-image-2 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 图像生成 GPT Image 2\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nGPT Image 2 图像生成与编辑模型。支持文生图，以及通过提供参考图进行图像编辑和合成。\r\n\r\n## 触发关键词\r\n\r\n- gpt-image-2\r\n\r\n## 身份验证 (Authentication)\r\n\r\n所有请求都需要 dLazy API key。**推荐使用** `dlazy login` 完成登录：\r\n\r\n```bash\r\ndlazy login\r\n```\r\n\r\n该命令使用设备码流程（远程终端也可用），登录成功后 **自动把 API key 写入本地 CLI 配置**，无需手动复制粘贴。\r\n\r\n### 备选：手动设置 API Key\r\n\r\n如果你已有 API key，也可以直接保存：\r\n\r\n```bash\r\ndlazy auth set YOUR_API_KEY\r\n```\r\n\r\nCLI 会把 key 保存在你的用户配置目录（macOS/Linux 上为 `~/.dlazy/config.json`，Windows 上为 `%USERPROFILE%\\.dlazy\\config.json`），文件权限仅限当前操作系统用户访问。你也可以用 `DLAZY_API_KEY` 环境变量按次传入。\r\n\r\n### 手动获取 API Key\r\n\r\n1. 登录或在 [dlazy.com](https://dlazy.com) 创建账号\r\n2. 访问 [dlazy.com/dashboard/organization/api-key](https://dlazy.com/dashboard/organization/api-key)\r\n3. 复制 API Key 区域显示的密钥\r\n\r\n每个 key 都属于你自己的 dLazy 组织，可在同一控制面板**随时轮换或吊销**。\r\n\r\n## 关于与来源 (Provenance)\r\n\r\n- **CLI 源代码**: [github.com/dlazy-ai/cli](https://github.com/dlazy-ai/cli)\r\n- **维护者**: dlazyai\r\n- **npm 包名**: `@dlazy/cli`（本技能 install 字段固定到 `1.2.3` 版本）\r\n- **官网**: [dlazy.com](https://dlazy.com)\r\n\r\n如果你不希望在系统上长期保留一个全局 CLI，可以按需运行：\r\n\r\n```bash\r\nnpx @dlazy/cli@1.2.3 <command>\r\n```\r\n\r\n如选择全局安装，技能的 `metadata.clawdbot.install` 字段已固定到 `npm install -g @dlazy/cli@1.2.3`。安装前建议先到 GitHub 仓库审阅源码。\r\n\r\n## 工作原理\r\n\r\n此技能是 dLazy 托管 API 的轻量封装。调用时：\r\n\r\n- 你提供的提示词与参数会发送到 dLazy API（`api.dlazy.com`）进行推理。\r\n- 传入图像 / 视频 / 音频字段的本地文件路径会被 CLI 上传到 dLazy 媒体存储（`files.dlazy.com`），以便模型读取 —— 与任何云端生成 API 的流程一致。\r\n- API 返回的生成结果 URL 由 `files.dlazy.com` 托管。\r\n\r\n这是标准的 SaaS 调用模式；技能本身不会越权访问网络或文件系统，所有动作都由 dLazy CLI 完成。完整服务条款请参见 [dlazy.com](https://dlazy.com)。\r\n\r\n## 使用方法\r\n\r\n**CRITICAL INSTRUCTION FOR AGENT**:\r\n执行 `dlazy gpt-image-2` 命令获取结果。\r\n\r\n```bash\r\ndlazy gpt-image-2 -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    提示词\r\n  --images [images...]                 参考图 [image: url or local path] (max 5)\r\n  --size [size]                        尺寸 [default: auto] (choices: \"1024x1024\", \"1536x1024\", \"1024x1536\", \"2048x2048\", \"2048x1152\", \"3840x2160\", \"2160x3840\", \"auto\")\r\n  --imageFormat [imageFormat]          图片格式 [default: jpeg] (choices: \"jpeg\", \"png\", \"webp\")\r\n  --quality [quality]                  画质 [default: medium] (choices: \"low\", \"medium\", \"high\")\r\n  --dry-run                            Print payload + cost estimate without calling API\r\n  --no-wait                            Return generateId immediately for async tasks\r\n  --timeout <seconds>              "}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":null,"editorialQuality":{"score":100,"threshold":65,"status":"thin","wordCount":1306,"uniquenessScore":42,"reasons":["uniqueness-below-45"]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-09T05:50:42.096Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-09T05:50:42.096Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-10T00:44:43.876Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs","url":"https://github.com/CherryHQ/cherry-studio","homepage":"https://cherry-ai.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-11T14:38:40.986Z","createdAt":"2026-02-25T03:38:19.379Z","downloads":null},{"id":"6f6582d0-5d76-4f0f-b81d-86520247950b","entityType":"agent","canonicalPath":"/agent/copilotkit-copilotkit","slug":"copilotkit-copilotkit","name":"CopilotKit","description":"The Frontend for Agents & Generative UI. React + Angular","url":"https://github.com/CopilotKit/CopilotKit","homepage":"https://docs.copilotkit.ai","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-03-25T09:50:57.846Z","createdAt":"2026-02-25T03:39:14.617Z","downloads":null}],"links":{"hub":"/agent","source":"/agent/source/clawhub","protocols":[{"label":"OpenClaw","href":"/agent/protocol/openclew"}]}}}