{"id":"8768ee1c-e4f5-4979-bf58-c09c8e0f8776","entityType":"agent","slug":"clawhub-dlazyai-dlazy-qwen3-8-max","name":"文本生成 Qwen 3.8 Max","canonicalUrl":"https://www.xpersona.co/agent/clawhub-dlazyai-dlazy-qwen3-8-max","canonicalPath":"/agent/clawhub-dlazyai-dlazy-qwen3-8-max","generatedAt":"2026-10-11T00:34:36.640Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-10T22:25:13.176Z","emptyReason":null},"description":"Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.","descriptionLabel":"Source description","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.2K downloads reported by the source. Last updated 10/10/2026.","installCommand":"clawhub skill install s170j1ymymrxasgd00dsk7tckx84cf45:dlazy-qwen3-8-max","sourceUrl":"https://clawhub.ai/dlazyai/dlazy-qwen3-8-max","homepage":"https://clawhub.ai/dlazyai/skills/dlazy-qwen3-8-max","primaryLinks":[{"label":"View on ClawHub","url":"https://clawhub.ai/dlazyai/dlazy-qwen3-8-max","kind":"source"},{"label":"Homepage","url":"https://clawhub.ai/dlazyai/skills/dlazy-qwen3-8-max","kind":"homepage"}],"safetyScore":84,"overallRank":62,"popularityScore":62,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"文本生成 Qwen 3.8 Max technical dossier on Xpersona with agent coverage, OPENCLEW support, and live trust metadata."},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-10-10T22:25:13.176Z","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":"2026-10-10T22:25:13.176Z","emptyReason":null},"stars":null,"forks":null,"downloads":1242,"packageName":null,"latestVersion":"1.2.23","tractionLabel":"1.2K downloads"},"release":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-10T22:25:13.115Z","emptyReason":null},"lastUpdatedAt":"2026-10-10T22:25:13.176Z","lastCrawledAt":"2026-10-10T22:25:13.115Z","lastIndexedAt":null,"nextCrawlAt":"2026-10-11T22:25:13.115Z","lastVerifiedAt":null,"highlights":[{"version":"1.2.23","createdAt":"2026-10-10T01:26:22.269Z","changelog":"例行版本更新 2026-10-10","fileCount":4,"zipByteSize":7827},{"version":"1.2.22","createdAt":"2026-10-08T01:24:47.755Z","changelog":"例行版本更新 2026-10-08","fileCount":4,"zipByteSize":7688},{"version":"1.2.21","createdAt":"2026-10-04T01:23:58.994Z","changelog":"例行版本更新 2026-10-04","fileCount":4,"zipByteSize":7760},{"version":"1.2.20","createdAt":"2026-10-02T05:03:40.185Z","changelog":"例行版本更新 2026-10-02","fileCount":4,"zipByteSize":7715},{"version":"1.2.19","createdAt":"2026-09-30T01:21:51.549Z","changelog":"例行版本更新 2026-09-30","fileCount":4,"zipByteSize":7846},{"version":"1.2.18","createdAt":"2026-09-28T02:20:05.504Z","changelog":"例行版本更新 2026-09-28","fileCount":4,"zipByteSize":7758},{"version":"1.2.17","createdAt":"2026-09-28T01:22:13.214Z","changelog":"例行版本更新 2026-09-28","fileCount":4,"zipByteSize":7716},{"version":"1.2.16","createdAt":"2026-09-24T02:01:47.781Z","changelog":"例行版本更新 2026-09-24","fileCount":4,"zipByteSize":7950}]},"execution":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":"clawhub skill install s170j1ymymrxasgd00dsk7tckx84cf45:dlazy-qwen3-8-max","setupComplexity":"low","setupSteps":["Install using `clawhub skill install s170j1ymymrxasgd00dsk7tckx84cf45:dlazy-qwen3-8-max` 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-qwen3-8-max 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-qwen3-8-max/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-qwen3-8-max/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-qwen3-8-max/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-qwen3-8-max/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-qwen3-8-max/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-qwen3-8-max/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"CLAWHUB","generatedAt":"2026-10-11T00:34:36.637Z"}},"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-qwen3-8-max/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-qwen3-8-max/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-qwen3-8-max/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-dlazyai-dlazy-qwen3-8-max/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":"2026-10-10T22:25:13.176Z","emptyReason":null},"readme":"Skill: 文本生成 Qwen 3.8 Max\n\nOwner: dlazyai\n\nSummary: Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\n\nTags: latest:1.2.23\n\nVersion history:\n\nv1.2.23 | 2026-10-10T01:26:22.269Z | user\n\n例行版本更新 2026-10-10\n\nv1.2.22 | 2026-10-08T01:24:47.755Z | user\n\n例行版本更新 2026-10-08\n\nv1.2.21 | 2026-10-04T01:23:58.994Z | user\n\n例行版本更新 2026-10-04\n\nv1.2.20 | 2026-10-02T05:03:40.185Z | user\n\n例行版本更新 2026-10-02\n\nv1.2.19 | 2026-09-30T01:21:51.549Z | user\n\n例行版本更新 2026-09-30\n\nv1.2.18 | 2026-09-28T02:20:05.504Z | user\n\n例行版本更新 2026-09-28\n\nv1.2.17 | 2026-09-28T01:22:13.214Z | user\n\n例行版本更新 2026-09-28\n\nv1.2.16 | 2026-09-24T02:01:47.781Z | user\n\n例行版本更新 2026-09-24\n\nv1.2.15 | 2026-09-22T01:21:28.911Z | user\n\n例行版本更新 2026-09-22\n\nv1.2.14 | 2026-09-20T01:26:59.519Z | user\n\n例行版本更新 2026-09-20\n\nv1.2.13 | 2026-09-14T01:21:06.775Z | user\n\n例行版本更新 2026-09-14\n\nv1.2.12 | 2026-09-10T01:18:59.478Z | user\n\n例行版本更新 2026-09-10\n\nv1.2.11 | 2026-09-08T01:21:33.054Z | user\n\n例行版本更新 2026-09-08\n\nv1.2.10 | 2026-09-07T01:28:27.599Z | user\n\n例行版本更新 2026-09-07\n\nv1.2.9 | 2026-09-04T01:26:08.432Z | user\n\n例行版本更新 2026-09-04\n\nv1.2.8 | 2026-09-02T01:20:08.119Z | user\n\n例行版本更新 2026-09-02\n\nv1.2.7 | 2026-08-31T02:59:58.479Z | user\n\n源码仓库迁移至 github.com/dlazy-ai/cli\n\nv1.2.6 | 2026-08-24T09:36:41.552Z | user\n\nRestore Chinese display name\n\nv1.2.5 | 2026-08-17T09:14:52.182Z | user\n\nRestore Chinese display name\n\nv1.2.4 | 2026-08-17T08:11:15.864Z | user\n\nRestore Chinese display name\n\nArchive index:\n\nArchive v1.2.23: 4 files, 7827 bytes\n\nFiles: skill-card.md (1976b), SKILL-cn.md (6885b), SKILL.md (6927b), _meta.json (137b)\n\nFile v1.2.23:SKILL.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\"\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 qwen3.8-max -h for help.\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\r\n\r\n## Trigger Keywords\r\n\r\n- qwen3.8-max\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 qwen3.8-max` to get the result.\r\n\r\n```bash\r\ndlazy qwen3.8-max -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.23:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-qwen3-8-max\",\n  \"version\": \"1.2.23\",\n  \"publishedAt\": 1791595582269\n}\n\nFile v1.2.23:skill-card.md\n\n## Description:\n\nUses the dLazy CLI to request Qwen 3.8 Max responses to text prompts and optional image inputs for reasoning, coding, and long-context analysis.\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 users can request hosted Qwen responses for complex reasoning, code work, and analysis of text or supplied images.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts, parameters, and supplied media are sent to dLazy-hosted services.\n\nMitigation: Avoid submitting sensitive content unless its transmission to dLazy is approved.\n\nRisk: The third-party npm CLI is required to run the skill.\n\nMitigation: Review the pinned CLI package and its source before installing in sensitive environments.\n\nRisk: CLI login saves an API key in local configuration.\n\nMitigation: Use DLAZY_API_KEY for per-invocation credentials when persistent local storage is unsuitable.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-qwen3-8-max)\n- [dLazy CLI source (linked in skill metadata; import provenance unavailable)](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):** [Text, Markdown, Code, Guidance]\n\n**Output Format:** [Model-generated responses returned in a JSON CLI result]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Optional asynchronous generation returns a task ID for later polling.]\n\n## Skill Version(s):\n\n1.2.23 (source: ClawHub release metadata; skill frontmatter lists 1.2.3)\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 v1.2.23:SKILL-cn.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\"\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 qwen3.8-max -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\r\n\r\n## 触发关键词\r\n\r\n- qwen3.8-max\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 qwen3.8-max` 命令获取结果。\r\n\r\n```bash\r\ndlazy qwen3.8-max -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 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.22: 4 files, 7688 bytes\n\nFiles: skill-card.md (1699b), SKILL-cn.md (6885b), SKILL.md (6927b), _meta.json (137b)\n\nFile v1.2.22:SKILL.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\"\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 qwen3.8-max -h for help.\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\r\n\r\n## Trigger Keywords\r\n\r\n- qwen3.8-max\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 qwen3.8-max` to get the result.\r\n\r\n```bash\r\ndlazy qwen3.8-max -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.22:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-qwen3-8-max\",\n  \"version\": \"1.2.22\",\n  \"publishedAt\": 1791422687755\n}\n\nFile v1.2.22:skill-card.md\n\n## Description:\n\nUses dLazy's hosted Qwen 3.8 Max model for text generation, reasoning, code assistance, and prompts with image 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\nAgents and developers use this skill to generate text, assist with reasoning and code tasks, and work with text or image inputs through dLazy's hosted service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and supplied image paths are sent to dLazy's cloud service.\n\nMitigation: Avoid submitting sensitive prompts or images unless approved for external processing.\n\nRisk: Logging in saves an API key in the local user profile.\n\nMitigation: Protect local credentials and rotate or revoke the key from the dLazy dashboard when needed.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-qwen3-8-max)\n- [dLazy CLI repository (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):** [Text, Code, Guidance]\n\n**Output Format:** [JSON response containing generated content]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Optional asynchronous requests return a task ID.]\n\n## Skill Version(s):\n\n1.2.22 (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 v1.2.22:SKILL-cn.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\"\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 qwen3.8-max -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\r\n\r\n## 触发关键词\r\n\r\n- qwen3.8-max\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 qwen3.8-max` 命令获取结果。\r\n\r\n```bash\r\ndlazy qwen3.8-max -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 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.21: 4 files, 7760 bytes\n\nFiles: skill-card.md (1875b), SKILL-cn.md (6885b), SKILL.md (6927b), _meta.json (137b)\n\nFile v1.2.21:SKILL.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\"\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 qwen3.8-max -h for help.\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\r\n\r\n## Trigger Keywords\r\n\r\n- qwen3.8-max\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 qwen3.8-max` to get the result.\r\n\r\n```bash\r\ndlazy qwen3.8-max -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.21:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-qwen3-8-max\",\n  \"version\": \"1.2.21\",\n  \"publishedAt\": 1791077038994\n}\n\nFile v1.2.21:skill-card.md\n\n## Description:\n\nGenerates reasoning, code, and long-context responses from text prompts and optional images through dLazy's Qwen 3.8 Max 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\nDevelopers and other users use this skill for complex reasoning, coding assistance, and long-context analysis with text prompts and optional images.\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: Review inputs before submission and avoid sending sensitive content without approval.\n\nRisk: The dLazy CLI requires an API key that may be saved locally.\n\nMitigation: Protect the key and rotate or revoke it if exposed.\n\nRisk: Using a third-party CLI adds installation and dependency exposure.\n\nMitigation: Use the pinned on-demand npx invocation or review the CLI source before a global install.\n\n## Reference(s):\n\n- [dLazy CLI project (skill metadata homepage)](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, Code, Guidance]\n\n**Output Format:** [JSON response containing generated content]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Asynchronous requests can return a task ID; generated results may include hosted URLs.]\n\n## Skill Version(s):\n\n1.2.21 (source: ClawHub release evidence; skill frontmatter lists 1.2.3)\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 v1.2.21:SKILL-cn.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\"\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 qwen3.8-max -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\r\n\r\n## 触发关键词\r\n\r\n- qwen3.8-max\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 qwen3.8-max` 命令获取结果。\r\n\r\n```bash\r\ndlazy qwen3.8-max -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 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.20: 4 files, 7715 bytes\n\nFiles: skill-card.md (1760b), SKILL-cn.md (6885b), SKILL.md (6927b), _meta.json (137b)\n\nFile v1.2.20:SKILL.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\"\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 qwen3.8-max -h for help.\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\r\n\r\n## Trigger Keywords\r\n\r\n- qwen3.8-max\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 qwen3.8-max` to get the result.\r\n\r\n```bash\r\ndlazy qwen3.8-max -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.20:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-qwen3-8-max\",\n  \"version\": \"1.2.20\",\n  \"publishedAt\": 1790917420185\n}\n\nFile v1.2.20:skill-card.md\n\n## Description:\n\nGenerates text and code and analyzes prompts with optional image input through dLazy's hosted Qwen model.\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 users use this skill to request reasoning, code generation, and analysis of text or images through the dLazy CLI.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and local image files supplied to the skill may be sent to dLazy's hosted service.\n\nMitigation: Avoid sharing private prompts or files unless you intend to send them to dLazy.\n\nRisk: Logging in can save an API key in local CLI configuration.\n\nMitigation: Protect the local credential and use an on-demand pinned CLI invocation if a global installation is not desired.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-qwen3-8-max)\n- [dLazy CLI source (listed in skill metadata)](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, Code, Guidance]\n\n**Output Format:** [JSON response containing generated content]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Asynchronous requests can return a task ID for later retrieval.]\n\n## Skill Version(s):\n\n1.2.20 (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 v1.2.20:SKILL-cn.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\"\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 qwen3.8-max -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\r\n\r\n## 触发关键词\r\n\r\n- qwen3.8-max\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 qwen3.8-max` 命令获取结果。\r\n\r\n```bash\r\ndlazy qwen3.8-max -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 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.19: 4 files, 7846 bytes\n\nFiles: skill-card.md (2006b), SKILL-cn.md (6885b), SKILL.md (6927b), _meta.json (137b)\n\nFile v1.2.19:SKILL.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\"\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 qwen3.8-max -h for help.\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\r\n\r\n## Trigger Keywords\r\n\r\n- qwen3.8-max\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 qwen3.8-max` to get the result.\r\n\r\n```bash\r\ndlazy qwen3.8-max -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.19:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-qwen3-8-max\",\n  \"version\": \"1.2.19\",\n  \"publishedAt\": 1790731311549\n}\n\nFile v1.2.19:skill-card.md\n\n## Description:\n\nUses dLazy's Qwen 3.8 Max service for reasoning, coding, and analysis with text and image 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 users can use this skill to request reasoning, code, and long-context analysis from dLazy's hosted Qwen model, optionally with image inputs.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and explicitly attached local media may be sent to dLazy's cloud services.\n\nMitigation: Review content and attachments before submission; avoid sharing sensitive information unless authorized.\n\nRisk: Logging in may store an API key on the local machine.\n\nMitigation: Use per-invocation credentials when local persistence is undesirable, and rotate or revoke exposed keys.\n\nRisk: The English skill instructions describe a different video-generation workflow than the advertised Qwen model.\n\nMitigation: Confirm the intended dLazy command with the user and CLI help before executing an unrelated workflow.\n\n## Reference(s):\n\n- [dLazy CLI repository (declared in skill metadata)](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, Code]\n\n**Output Format:** [JSON response containing generated content]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires a dLazy API key; asynchronous requests may return a task ID instead of immediate content.]\n\n## Skill Version(s):\n\n1.2.19 (source: ClawHub release metadata; bundled skill frontmatter lists 1.2.3)\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 v1.2.19:SKILL-cn.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\"\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 qwen3.8-max -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\r\n\r\n## 触发关键词\r\n\r\n- qwen3.8-max\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 qwen3.8-max` 命令获取结果。\r\n\r\n```bash\r\ndlazy qwen3.8-max -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 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.18: 4 files, 7758 bytes\n\nFiles: skill-card.md (1888b), SKILL-cn.md (6885b), SKILL.md (6927b), _meta.json (137b)\n\nFile v1.2.18:SKILL.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\"\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 qwen3.8-max -h for help.\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\r\n\r\n## Trigger Keywords\r\n\r\n- qwen3.8-max\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 qwen3.8-max` to get the result.\r\n\r\n```bash\r\ndlazy qwen3.8-max -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.18:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-qwen3-8-max\",\n  \"version\": \"1.2.18\",\n  \"publishedAt\": 1790562005504\n}\n\nFile v1.2.18:skill-card.md\n\n## Description:\n\nUses the dLazy-hosted Qwen model to generate text and code from prompts, with optional image 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 users can ask an agent to generate or analyze text and code using prompts and optional images through the dLazy service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and selected local media files are sent to dLazy's hosted service.\n\nMitigation: Review prompts and image paths before submission; do not send sensitive content without authorization.\n\nRisk: The CLI can save a dLazy API key locally.\n\nMitigation: Protect local credentials and rotate or revoke the key in the dLazy dashboard if needed.\n\nRisk: A global CLI installation remains on the user's system.\n\nMitigation: Use the pinned npx invocation instead if a persistent installation is not wanted.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-qwen3-8-max)\n- [dLazy CLI repository (linked in skill metadata)](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, Code, Guidance]\n\n**Output Format:** [Text or code returned in a JSON result]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Optional asynchronous requests return a task ID for later retrieval.]\n\n## Skill Version(s):\n\n1.2.18 (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 v1.2.18:SKILL-cn.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\"\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 qwen3.8-max -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\r\n\r\n## 触发关键词\r\n\r\n- qwen3.8-max\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 qwen3.8-max` 命令获取结果。\r\n\r\n```bash\r\ndlazy qwen3.8-max -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 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.17: 4 files, 7716 bytes\n\nFiles: skill-card.md (1728b), SKILL-cn.md (6885b), SKILL.md (6927b), _meta.json (137b)\n\nFile v1.2.17:SKILL.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\"\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 qwen3.8-max -h for help.\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\r\n\r\n## Trigger Keywords\r\n\r\n- qwen3.8-max\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 qwen3.8-max` to get the result.\r\n\r\n```bash\r\ndlazy qwen3.8-max -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.17:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-qwen3-8-max\",\n  \"version\": \"1.2.17\",\n  \"publishedAt\": 1790558533214\n}\n\nFile v1.2.17:skill-card.md\n\n## Description:\n\nGenerates text for reasoning, coding, and analysis using dLazy's hosted Qwen 3.8 Max model with text or image input.\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 users can use this skill to draft text, work through complex questions, write code, and analyze text or images through the dLazy service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and selected media files are sent to dLazy servers.\n\nMitigation: Confirm you trust the service and avoid sending sensitive content without authorization.\n\nRisk: Authentication can store a dLazy API key locally.\n\nMitigation: Protect the local key and rotate or revoke it in the dLazy dashboard if needed.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-qwen3-8-max)\n- [dLazy CLI repository (listed 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):** [Text, Code, Guidance]\n\n**Output Format:** [Text returned in a JSON CLI response]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Asynchronous requests may return a task ID before the result is ready.]\n\n## Skill Version(s):\n\n1.2.17 (source: ClawHub release metadata; CLI install pinned to 1.2.3)\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 v1.2.17:SKILL-cn.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\"\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 qwen3.8-max -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\r\n\r\n## 触发关键词\r\n\r\n- qwen3.8-max\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 qwen3.8-max` 命令获取结果。\r\n\r\n```bash\r\ndlazy qwen3.8-max -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 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.16: 4 files, 7950 bytes\n\nFiles: skill-card.md (2258b), SKILL-cn.md (6885b), SKILL.md (6927b), _meta.json (137b)\n\nFile v1.2.16:SKILL.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\"\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 qwen3.8-max -h for help.\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\r\n\r\n## Trigger Keywords\r\n\r\n- qwen3.8-max\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 qwen3.8-max` to get the result.\r\n\r\n```bash\r\ndlazy qwen3.8-max -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.16:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-qwen3-8-max\",\n  \"version\": \"1.2.16\",\n  \"publishedAt\": 1790215307781\n}\n\nFile v1.2.16:skill-card.md\n\n## Description:\n\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis, with text and image input support.\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 agent users invoke this skill to send prompts, optional image inputs, and generation settings to the dLazy-hosted Qwen 3.8 Max model for reasoning, code engineering, and long-context analysis tasks.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts, parameters, and referenced media may be sent to dLazy cloud services for inference.\n\nMitigation: Avoid sending sensitive content unless the user has approved dLazy processing for that data.\n\nRisk: Authentication stores a dLazy API key in local CLI configuration or reads it from DLAZY_API_KEY.\n\nMitigation: Use OS-level file permissions, avoid exposing the key in logs, and rotate or revoke the key from dLazy if it may be compromised.\n\nRisk: The skill depends on a third-party npm CLI and hosted service.\n\nMitigation: Confirm trust in the @dlazy/cli package and dLazy service before installation or execution.\n\n## Reference(s):\n\n- [dLazy CLI project](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- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-qwen3-8-max)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration, Guidance]\n\n**Output Format:** [JSON result envelope from the dLazy CLI, often containing generated text or structured model output.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports asynchronous generation IDs, optional result download via --save, and dry-run cost estimation.]\n\n## Skill Version(s):\n\n1.2.16 (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 v1.2.16:SKILL-cn.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\"\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 qwen3.8-max -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\r\n\r\n## 触发关键词\r\n\r\n- qwen3.8-max\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 qwen3.8-max` 命令获取结果。\r\n\r\n```bash\r\ndlazy qwen3.8-max -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 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.15: 4 files, 7910 bytes\n\nFiles: skill-card.md (2213b), SKILL-cn.md (6885b), SKILL.md (6927b), _meta.json (137b)\n\nFile v1.2.15:SKILL.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\"\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 qwen3.8-max -h for help.\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\r\n\r\n## Trigger Keywords\r\n\r\n- qwen3.8-max\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 qwen3.8-max` to get the result.\r\n\r\n```bash\r\ndlazy qwen3.8-max -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.15:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-qwen3-8-max\",\n  \"version\": \"1.2.15\",\n  \"publishedAt\": 1790040088911\n}\n\nFile v1.2.15:skill-card.md\n\n## Description:\n\nAlibaba's flagship Qwen reasoning model supports text and image input for complex reasoning, code engineering, and long-context analysis 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\nDevelopers and agents use this skill to call Qwen 3.8 Max through the dLazy hosted API for text generation, image-aware prompting, reasoning, coding, and long-context analysis.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill sends prompts, parameters, and user-selected media files to the third-party dLazy cloud service for inference.\n\nMitigation: Do not pass private files or sensitive prompts unless upload to dLazy is intended; review the service and source links before use.\n\nRisk: Authentication can persist a dLazy API key in the local CLI configuration.\n\nMitigation: Use DLAZY_API_KEY for temporary credentials when persistence is not desired, and rotate or revoke keys from the dLazy dashboard as needed.\n\nRisk: A globally installed third-party CLI remains on the system after installation.\n\nMitigation: Use the pinned npx invocation for on-demand execution when a persistent global binary is not desired.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-qwen3-8-max)\n- [dLazy CLI source](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):** [Text, JSON, Shell commands, Guidance]\n\n**Output Format:** [Markdown guidance with shell commands and JSON response examples]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Requires npm or npx, a dLazy API key, and network access to dLazy API and file endpoints.]\n\n## Skill Version(s):\n\n1.2.15 (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 v1.2.15:SKILL-cn.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\"\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 qwen3.8-max -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\r\n\r\n## 触发关键词\r\n\r\n- qwen3.8-max\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 qwen3.8-max` 命令获取结果。\r\n\r\n```bash\r\ndlazy qwen3.8-max -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 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.14: 4 files, 8052 bytes\n\nFiles: skill-card.md (2492b), SKILL-cn.md (6885b), SKILL.md (6927b), _meta.json (137b)\n\nFile v1.2.14:SKILL.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\"\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 qwen3.8-max -h for help.\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\r\n\r\n## Trigger Keywords\r\n\r\n- qwen3.8-max\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 qwen3.8-max` to get the result.\r\n\r\n```bash\r\ndlazy qwen3.8-max -h\r\n\r\nOptions:\r\n  --prompt [prompt]                    Prompt\r\n  --images [images...]                 Images [image: url or local path] (max 10)\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\": \"qwen3.8-max\",\r\n    \"modelId\": \"qwen-3-8-max\",\r\n    \"outputs\": [\r\n      {\r\n        \"type\": \"json\",\r\n        \"id\": \"o_xxxxxxxx\",\r\n        \"value\": {}\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 qwen3.8-max --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 v1.2.14:_meta.json\n\n{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-qwen3-8-max\",\n  \"version\": \"1.2.14\",\n  \"publishedAt\": 1789867619519\n}\n\nFile v1.2.14:skill-card.md\n\n## Description:\n\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis, with text and image input support 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\nDevelopers and external users use this skill to invoke the hosted dLazy Qwen 3.8 Max model for text generation, reasoning, code engineering, long-context analysis, and image-informed prompts.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and explicitly supplied media files may be sent to dLazy cloud endpoints.\n\nMitigation: Use the skill only for content acceptable for dLazy processing, and avoid passing sensitive local files unless that transfer is intended.\n\nRisk: Authentication can store a dLazy API key in the local CLI configuration.\n\nMitigation: Use OS account protections for the config file, or pass DLAZY_API_KEY per invocation when persistent local storage is not desired.\n\nRisk: Installing the CLI globally leaves a persistent binary on the system.\n\nMitigation: Prefer the pinned npx command when a non-global invocation is sufficient.\n\nRisk: A saved or exposed dLazy API key could continue to authorize usage.\n\nMitigation: Rotate or revoke the key from the dLazy dashboard when access no longer needs to persist.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-qwen3-8-max)\n- [dLazy CLI homepage](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, json, shell commands, configuration, guidance]\n\n**Output Format:** [JSON response from the dLazy CLI, with command-line guidance in Markdown.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May return asynchronous task metadata when invoked with no-wait behavior; generated asset URLs are hosted by dLazy when applicable.]\n\n## Skill Version(s):\n\n1.2.14 (source: server release metadata; artifact frontmatter and install spec reference dLazy CLI 1.2.3)\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 v1.2.14:SKILL-cn.md\n\n---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\"\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 qwen3.8-max -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\r\n\r\n## 触发关键词\r\n\r\n- qwen3.8-max\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/organizatio","readmeExcerpt":"Skill: 文本生成 Qwen 3.8 Max Owner: dlazyai Summary: Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input. Tags: latest:1.2.23 Version history: v1.2.23 | 2026-10-10T01:26:22.269Z | user 例行版本更新 2026-10-10 v1.2.22 | 2026-10-08T01:24:47.755Z | user 例行版本更新 2026-10-08 v1.2.21 | 2026-10-04T01:23:58.994Z | user 例行版本更新 ","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\r\nname: dlazy-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"Alibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\"\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 qwen3.8-max -h for help.\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nAlibaba's flagship Qwen reasoning model (2.4T-parameter MoE), strong at complex reasoning, code engineering and long-context analysis. Accepts text and image input.\r\n\r\n## Trigger Keywords\r\n\r\n- qwen3.8-max\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 u"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n  \"slug\": \"dlazy-qwen3-8-max\",\n  \"version\": \"1.2.23\",\n  \"publishedAt\": 1791595582269\n}"},{"path":"skill-card.md","content":"## Description:\n\nUses the dLazy CLI to request Qwen 3.8 Max responses to text prompts and optional image inputs for reasoning, coding, and long-context analysis.\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 users can request hosted Qwen responses for complex reasoning, code work, and analysis of text or supplied images.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts, parameters, and supplied media are sent to dLazy-hosted services.\n\nMitigation: Avoid submitting sensitive content unless its transmission to dLazy is approved.\n\nRisk: The third-party npm CLI is required to run the skill.\n\nMitigation: Review the pinned CLI package and its source before installing in sensitive environments.\n\nRisk: CLI login saves an API key in local configuration.\n\nMitigation: Use DLAZY_API_KEY for per-invocation credentials when persistent local storage is unsuitable.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-qwen3-8-max)\n- [dLazy CLI source (linked in skill metadata; import provenance unavailable)](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):** [Text, Markdown, Code, Guidance]\n\n**Output Format:** [Model-generated responses returned in a JSON CLI result]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Optional asynchronous generation returns a task ID for later polling.]\n\n## Skill Version(s):\n\n1.2.23 (source: ClawHub release metadata; skill frontmatter lists 1.2.3)\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-qwen3.8-max\r\nversion: 1.2.3\r\ndescription: \"通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\"\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 qwen3.8-max -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 文本生成 Qwen 3.8 Max\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n通义千问旗舰推理模型（2.4 万亿参数 MoE），擅长复杂推理、代码工程与长上下文分析。支持文本与图片输入。\r\n\r\n## 触发关键词\r\n\r\n- qwen3.8-max\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 qwen3.8-max` 命令获取结果。\r\n\r\n```bash\r\ndlazy qwen3.8-max -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 10)\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"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":null,"editorialQuality":{"score":100,"threshold":65,"status":"thin","wordCount":1256,"uniquenessScore":43,"reasons":["uniqueness-below-45"]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-10T22:25:13.176Z","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":"2026-10-10T22:25:13.176Z","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":"2026-10-11T00:34:36.640Z","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"}]}}}