{"id":"2e280548-2e93-40af-92e9-3f85924765e2","entityType":"agent","slug":"clawhub-dlazyai-dlazy-kimi-k3","name":"文本生成 Kimi K3","canonicalUrl":"https://www.xpersona.co/agent/clawhub-dlazyai-dlazy-kimi-k3","canonicalPath":"/agent/clawhub-dlazyai-dlazy-kimi-k3","generatedAt":"2026-10-11T08:43:30.561Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-11T06:04:51.480Z","emptyReason":null},"description":"Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.","descriptionLabel":"Source description","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. 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thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\n\nTags: latest:1.2.22\n\nVersion history:\n\nv1.2.22 | 2026-10-10T01:18:11.501Z | user\n\n例行版本更新 2026-10-10\n\nv1.2.21 | 2026-10-08T01:18:04.003Z | user\n\n例行版本更新 2026-10-08\n\nv1.2.20 | 2026-10-04T01:16:57.619Z | user\n\n例行版本更新 2026-10-04\n\nv1.2.19 | 2026-10-02T04:58:42.984Z | user\n\n例行版本更新 2026-10-02\n\nv1.2.18 | 2026-09-30T01:15:48.419Z | user\n\n例行版本更新 2026-09-30\n\nv1.2.17 | 2026-09-28T02:14:03.315Z | user\n\n例行版本更新 2026-09-28\n\nv1.2.16 | 2026-09-28T01:16:24.571Z | user\n\n例行版本更新 2026-09-28\n\nv1.2.15 | 2026-09-24T01:54:28.044Z | user\n\n例行版本更新 2026-09-24\n\nv1.2.14 | 2026-09-22T01:13:30.002Z | user\n\n例行版本更新 2026-09-22\n\nv1.2.13 | 2026-09-20T01:19:27.289Z | user\n\n例行版本更新 2026-09-20\n\nv1.2.12 | 2026-09-18T01:41:19.309Z | user\n\n例行版本更新 2026-09-18\n\nv1.2.11 | 2026-09-14T01:16:09.475Z | user\n\n例行版本更新 2026-09-14\n\nv1.2.10 | 2026-09-10T01:13:25.301Z | user\n\n例行版本更新 2026-09-10\n\nv1.2.9 | 2026-09-08T01:14:32.576Z | user\n\n例行版本更新 2026-09-08\n\nv1.2.8 | 2026-09-07T01:19:12.060Z | user\n\n例行版本更新 2026-09-07\n\nv1.2.7 | 2026-09-04T01:19:51.516Z | user\n\n例行版本更新 2026-09-04\n\nv1.2.6 | 2026-09-02T01:14:22.700Z | user\n\n例行版本更新 2026-09-02\n\nv1.2.5 | 2026-08-31T02:54:41.401Z | user\n\n源码仓库迁移至 github.com/dlazy-ai/cli\n\nv1.2.4 | 2026-08-24T09:25:49.913Z | user\n\nRestore Chinese display name\n\nArchive index:\n\nArchive v1.2.22: 4 files, 7801 bytes\n\nFiles: skill-card.md (2033b), SKILL-cn.md (6912b), SKILL.md (6938b), _meta.json (133b)\n\nFile v1.2.22:SKILL.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\"\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 kimi-k3 -h for help.\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nMoonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\r\n\r\n## Trigger Keywords\r\n\r\n- kimi-k3\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 \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 kimi-k3` to get the result.\r\n\r\n```bash\r\ndlazy kimi-k3 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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-kimi-k3\",\n \"version\": \"1.2.22\",\n \"publishedAt\": 1791595091501\n}\n\nFile v1.2.22:skill-card.md\n\n## Description:\n\nUses the dLazy Kimi K3 service for complex analysis, coding, and writing with text, image, and video understanding.\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 long-form analysis, coding help, and writing from the hosted Kimi K3 model, optionally supplying images or videos for understanding.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and explicitly supplied media may be sent to dLazy's hosted service.\n\nMitigation: Do not submit sensitive prompts or media without approval for external processing.\n\nRisk: Signing in or setting an API key stores credentials in local CLI configuration.\n\nMitigation: Protect the local configuration and rotate or revoke keys if exposed.\n\nRisk: Installation relies on an external npm CLI.\n\nMitigation: Review the upstream CLI before installing if stronger supply-chain assurance is needed.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-kimi-k3)\n- [dLazy CLI homepage (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, Markdown, Code, Guidance]\n\n**Output Format:** [Plain text or Markdown, including code when requested]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [The CLI returns a structured JSON result; asynchronous calls may return a task ID before the result is ready.]\n\n## Skill Version(s):\n\n1.2.22 (source: server-resolved ClawHub release; artifact frontmatter says 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 v1.2.22:SKILL-cn.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\"\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 kimi-k3 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\r\n\r\n## 触发关键词\r\n\r\n- kimi-k3\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 \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 kimi-k3` 命令获取结果。\r\n\r\n```bash\r\ndlazy kimi-k3 -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 --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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, 7710 bytes\n\nFiles: skill-card.md (1821b), SKILL-cn.md (6912b), SKILL.md (6938b), _meta.json (133b)\n\nFile v1.2.21:SKILL.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\"\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 kimi-k3 -h for help.\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nMoonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\r\n\r\n## Trigger Keywords\r\n\r\n- kimi-k3\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 \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 kimi-k3` to get the result.\r\n\r\n```bash\r\ndlazy kimi-k3 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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-kimi-k3\",\n \"version\": \"1.2.21\",\n \"publishedAt\": 1791422284003\n}\n\nFile v1.2.21:skill-card.md\n\n## Description:\n\nUses the hosted Kimi K3 model for text generation and complex reasoning, with optional image and video understanding.\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 analysis, writing, or code from the hosted model and optionally provide images or videos for context.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The required third-party CLI stores a service API key locally.\n\nMitigation: Review the CLI before installation, use npx to avoid a global install if preferred, and rotate or revoke the key if needed.\n\nRisk: Prompts and explicitly supplied media are sent to dLazy-hosted services.\n\nMitigation: Avoid sending sensitive prompts or files unless sharing them with the service is intended.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-kimi-k3)\n- [dLazy CLI homepage (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 may return a task ID instead of immediate content.]\n\n## Skill Version(s):\n\n1.2.21 (source: server 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 v1.2.21:SKILL-cn.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\"\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 kimi-k3 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\r\n\r\n## 触发关键词\r\n\r\n- kimi-k3\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 \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 kimi-k3` 命令获取结果。\r\n\r\n```bash\r\ndlazy kimi-k3 -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 --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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, 7816 bytes\n\nFiles: skill-card.md (2087b), SKILL-cn.md (6912b), SKILL.md (6938b), _meta.json (133b)\n\nFile v1.2.20:SKILL.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\"\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 kimi-k3 -h for help.\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nMoonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\r\n\r\n## Trigger Keywords\r\n\r\n- kimi-k3\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 \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 kimi-k3` to get the result.\r\n\r\n```bash\r\ndlazy kimi-k3 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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-kimi-k3\",\n \"version\": \"1.2.20\",\n \"publishedAt\": 1791076617619\n}\n\nFile v1.2.20:skill-card.md\n\n## Description:\n\nUses a hosted Kimi K3 model for complex analysis, coding, and writing with text, image, and video 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 writing, code, or analysis from prompts and optional image or video inputs through the dLazy service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and local media passed to the CLI may be sent to dLazy's hosted service.\n\nMitigation: Share only prompts and media you are comfortable sending to dLazy; review files before passing their paths.\n\nRisk: Persistent login stores a dLazy API key in local CLI configuration.\n\nMitigation: Use per-invocation DLAZY_API_KEY if local credential persistence is undesirable, and rotate or revoke keys when needed.\n\nRisk: The skill relies on a third-party npm CLI and hosted service.\n\nMitigation: Review the CLI and service before installation; use the documented pinned, on-demand npx command if a global install is undesirable.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-kimi-k3)\n- [dLazy CLI homepage (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, Markdown, Code]\n\n**Output Format:** [JSON response containing generated content for the agent to relay]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Asynchronous requests may return a task identifier instead of immediate content; the documented CLI install is pinned to 1.2.3.]\n\n## Skill Version(s):\n\n1.2.20 (source: server-resolved ClawHub release)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.2.20:SKILL-cn.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\"\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 kimi-k3 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\r\n\r\n## 触发关键词\r\n\r\n- kimi-k3\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 \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 kimi-k3` 命令获取结果。\r\n\r\n```bash\r\ndlazy kimi-k3 -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 --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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, 7710 bytes\n\nFiles: skill-card.md (1894b), SKILL-cn.md (6912b), SKILL.md (6938b), _meta.json (133b)\n\nFile v1.2.19:SKILL.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\"\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 kimi-k3 -h for help.\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nMoonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\r\n\r\n## Trigger Keywords\r\n\r\n- kimi-k3\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 \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 kimi-k3` to get the result.\r\n\r\n```bash\r\ndlazy kimi-k3 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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-kimi-k3\",\n \"version\": \"1.2.19\",\n \"publishedAt\": 1790917122984\n}\n\nFile v1.2.19:skill-card.md\n\n## Description:\n\nUses a Moonshot AI reasoning model to help with complex analysis, coding, and writing using text, images, or video.\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 analysis, coding, and writing with optional image or video inputs through the dLazy service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and selected images or videos are sent to the dLazy service.\n\nMitigation: Confirm that the content can be shared with dLazy before sending prompts or files.\n\nRisk: Logging in can store an API key on the local machine.\n\nMitigation: Use the DLAZY_API_KEY environment variable if persistent local key storage is undesirable.\n\nRisk: Using the skill installs or invokes a third-party CLI package.\n\nMitigation: Confirm that you trust the dLazy package and service before use.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-kimi-k3)\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- [dLazy service](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Code, Guidance]\n\n**Output Format:** [Text in a structured JSON response]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Asynchronous requests may return a task identifier instead of a completed answer.]\n\n## Skill Version(s):\n\n1.2.19 (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 v1.2.19:SKILL-cn.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\"\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 kimi-k3 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\r\n\r\n## 触发关键词\r\n\r\n- kimi-k3\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 \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 kimi-k3` 命令获取结果。\r\n\r\n```bash\r\ndlazy kimi-k3 -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 --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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, 7651 bytes\n\nFiles: skill-card.md (1716b), SKILL-cn.md (6912b), SKILL.md (6938b), _meta.json (133b)\n\nFile v1.2.18:SKILL.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\"\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 kimi-k3 -h for help.\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nMoonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\r\n\r\n## Trigger Keywords\r\n\r\n- kimi-k3\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 \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 kimi-k3` to get the result.\r\n\r\n```bash\r\ndlazy kimi-k3 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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-kimi-k3\",\n \"version\": \"1.2.18\",\n \"publishedAt\": 1790730948419\n}\n\nFile v1.2.18:skill-card.md\n\n## Description:\n\nConnects agents to Kimi K3 for text generation and analysis of supplied text, images, and video.\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 agents use this skill to request complex analysis, writing, and coding help from Kimi K3, including questions about supplied images or videos.\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's hosted service.\n\nMitigation: Review prompts and files before submission; do not send sensitive material unless intended.\n\nRisk: Using the dLazy service requires an API key stored or supplied to the CLI.\n\nMitigation: Protect the key and rotate or revoke it when no longer needed.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-kimi-k3)\n- [dLazy CLI repository](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, Markdown, Code, Guidance]\n\n**Output Format:** [Text or structured JSON response]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Asynchronous requests can return a task ID before the result is ready.]\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-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\"\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 kimi-k3 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\r\n\r\n## 触发关键词\r\n\r\n- kimi-k3\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 \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 kimi-k3` 命令获取结果。\r\n\r\n```bash\r\ndlazy kimi-k3 -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 --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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, 7779 bytes\n\nFiles: skill-card.md (2012b), SKILL-cn.md (6912b), SKILL.md (6938b), _meta.json (133b)\n\nFile v1.2.17:SKILL.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\"\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 kimi-k3 -h for help.\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nMoonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\r\n\r\n## Trigger Keywords\r\n\r\n- kimi-k3\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 \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 kimi-k3` to get the result.\r\n\r\n```bash\r\ndlazy kimi-k3 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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-kimi-k3\",\n \"version\": \"1.2.17\",\n \"publishedAt\": 1790561643315\n}\n\nFile v1.2.17:skill-card.md\n\n## Description:\n\nHelps agents use Kimi K3 for text generation, complex analysis, coding, and writing with optional image and video inputs.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nDevelopers and other agent users can generate text, analyze complex questions, and draft code or writing with optional image and video context through dLazy's hosted service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and explicitly selected media files may be sent to dLazy's cloud service.\n\nMitigation: Review prompts and files for sensitive content before submitting them.\n\nRisk: Logging in stores a dLazy API key in the local CLI configuration.\n\nMitigation: Protect local credentials and rotate or revoke the key if it is exposed.\n\nRisk: Running the third-party CLI requires trusting its npm package and associated service.\n\nMitigation: Review the package and linked source before installing when that trust boundary matters.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-kimi-k3)\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\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Code]\n\n**Output Format:** [JSON-wrapped generated text, which may contain Markdown or code]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Asynchronous requests can return a task identifier instead of immediate generated text.]\n\n## Skill Version(s):\n\n1.2.17 (source: server-resolved ClawHub release; bundled CLI install specifies 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-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\"\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 kimi-k3 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\r\n\r\n## 触发关键词\r\n\r\n- kimi-k3\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 \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 kimi-k3` 命令获取结果。\r\n\r\n```bash\r\ndlazy kimi-k3 -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 --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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, 7789 bytes\n\nFiles: skill-card.md (2005b), SKILL-cn.md (6912b), SKILL.md (6938b), _meta.json (133b)\n\nFile v1.2.16:SKILL.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\"\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 kimi-k3 -h for help.\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nMoonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\r\n\r\n## Trigger Keywords\r\n\r\n- kimi-k3\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 \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 kimi-k3` to get the result.\r\n\r\n```bash\r\ndlazy kimi-k3 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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-kimi-k3\",\n \"version\": \"1.2.16\",\n \"publishedAt\": 1790558184571\n}\n\nFile v1.2.16:skill-card.md\n\n## Description:\n\nProvides Kimi K3 text generation and text, image, and video understanding for complex analysis, coding, and writing.\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 Kimi K3 through the dLazy CLI to analyze prompts and supplied images or videos, write content, and assist with coding.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and explicitly supplied media are sent to dLazy's hosted service.\n\nMitigation: Only submit prompts and media you are comfortable sharing with dLazy.\n\nRisk: Authentication requires a dLazy API key, which the CLI can store locally.\n\nMitigation: Use DLAZY_API_KEY for per-invocation credentials or rotate and revoke stored keys as needed.\n\nRisk: Installing the dLazy CLI globally leaves a persistent third-party program on the system.\n\nMitigation: Use the on-demand npx invocation if a global installation is unnecessary.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-kimi-k3)\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- [dLazy service](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [Text, Markdown, Code, Guidance]\n\n**Output Format:** [Text or JSON-formatted CLI response]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Responses may be asynchronous; the CLI can return a generation ID for later retrieval.]\n\n## Skill Version(s):\n\n1.2.16 (source: server release evidence; embedded skill frontmatter says 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 v1.2.16:SKILL-cn.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\"\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 kimi-k3 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\r\n\r\n## 触发关键词\r\n\r\n- kimi-k3\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 \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 kimi-k3` 命令获取结果。\r\n\r\n```bash\r\ndlazy kimi-k3 -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 --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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, 7938 bytes\n\nFiles: skill-card.md (2400b), SKILL-cn.md (6912b), SKILL.md (6938b), _meta.json (133b)\n\nFile v1.2.15:SKILL.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\"\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 kimi-k3 -h for help.\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nMoonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\r\n\r\n## Trigger Keywords\r\n\r\n- kimi-k3\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 \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 kimi-k3` to get the result.\r\n\r\n```bash\r\ndlazy kimi-k3 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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-kimi-k3\",\n \"version\": \"1.2.15\",\n \"publishedAt\": 1790214868044\n}\n\nFile v1.2.15:skill-card.md\n\n## Description:\n\nMoonshot AI thinking model with text, image, and video understanding, suited to complex analysis, coding, and writing that needs long reasoning chains.\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 call the dLazy Kimi K3 CLI for text generation, multimodal understanding, complex analysis, coding, and writing workflows.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and parameters are sent to the hosted dLazy API endpoint for inference.\n\nMitigation: Use the skill only with data approved for processing by the dLazy hosted service.\n\nRisk: Local image, video, or audio paths provided to the CLI may be uploaded to dLazy media storage.\n\nMitigation: Pass only media files that are approved for upload to dLazy; use dry-run or path review before submitting sensitive files.\n\nRisk: Authentication can store a dLazy API key in the local CLI configuration.\n\nMitigation: Use the DLAZY_API_KEY environment variable for per-invocation credentials when persistent local key storage is not desired, and rotate or revoke keys from the dLazy dashboard when needed.\n\nRisk: The skill depends on a third-party npm CLI package and hosted service.\n\nMitigation: Review trust in the external dLazy CLI package and service before installation or execution.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-kimi-k3)\n- [dLazy CLI](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, shell commands, configuration, guidance]\n\n**Output Format:** [JSON response from the dLazy CLI, with generated content nested in outputs.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Async calls may return a generateId and status instead of immediate outputs; saved assets may be downloaded when requested.]\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-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\"\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 kimi-k3 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\r\n\r\n## 触发关键词\r\n\r\n- kimi-k3\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 \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 kimi-k3` 命令获取结果。\r\n\r\n```bash\r\ndlazy kimi-k3 -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 --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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, 7853 bytes\n\nFiles: skill-card.md (2228b), SKILL-cn.md (6912b), SKILL.md (6938b), _meta.json (133b)\n\nFile v1.2.14:SKILL.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\"\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 kimi-k3 -h for help.\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nMoonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\r\n\r\n## Trigger Keywords\r\n\r\n- kimi-k3\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 \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 kimi-k3` to get the result.\r\n\r\n```bash\r\ndlazy kimi-k3 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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-kimi-k3\",\n \"version\": \"1.2.14\",\n \"publishedAt\": 1790039610002\n}\n\nFile v1.2.14:skill-card.md\n\n## Description:\n\nMoonshot AI thinking model with text, image, and video understanding for complex analysis, coding, and writing that need long reasoning chains.\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 call the hosted dLazy Kimi K3 model for long-reasoning text generation, multimodal understanding, coding help, and writing tasks.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and user-selected image, video, or audio files are sent to dLazy's hosted service.\n\nMitigation: Avoid submitting sensitive data unless the service is approved for that data, and review dLazy service terms before use.\n\nRisk: Login may store a dLazy API key in local CLI configuration.\n\nMitigation: Use per-invocation credentials or the npx form when appropriate, restrict local config access, and rotate or revoke the key from the dLazy dashboard if needed.\n\nRisk: A global CLI install persists the dLazy package on the host.\n\nMitigation: Use the documented npx invocation when a non-persistent CLI execution path is preferred.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-kimi-k3)\n- [dLazy CLI source](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy homepage](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [text, code, shell commands, configuration, guidance]\n\n**Output Format:** [JSON response with generated output objects, plus Markdown guidance and shell commands in agent responses]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports asynchronous task IDs, optional result saving, and user-selected image, video, or audio file inputs through the dLazy CLI.]\n\n## Skill Version(s):\n\n1.2.14 (source: server 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 v1.2.14:SKILL-cn.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\"\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 kimi-k3 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\r\n\r\n## 触发关键词\r\n\r\n- kimi-k3\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 \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 kimi-k3` 命令获取结果。\r\n\r\n```bash\r\ndlazy kimi-k3 -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 --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` 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 v1.2.13: 4 files, 7843 bytes\n\nFiles: skill-card.md (2171b), SKILL-cn.md (6912b), SKILL.md (6938b), _meta.json (133b)\n\nFile v1.2.13:SKILL.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\"\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 kimi-k3 -h for help.\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nMoonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\r\n\r\n## Trigger Keywords\r\n\r\n- kimi-k3\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 \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 kimi-k3` to get the result.\r\n\r\n```bash\r\ndlazy kimi-k3 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --images [images...] Images [image: url or local path] (max 10)\r\n --videos [videos...] Videos [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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\": \"kimi-k3\",\r\n \"modelId\": \"kimi-k3\",\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 --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy kimi-k3 --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 ' 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 ` and resume the task.\r\n\r\n## Tips\r\n\r\nVisit https://dlazy.com for more information.\n\nFile v1.2.13:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-kimi-k3\",\n \"version\": \"1.2.13\",\n \"publishedAt\": 1789867167289\n}\n\nFile v1.2.13:skill-card.md\n\n## Description:\n\nMoonshot AI thinking model with text, image, and video understanding for complex analysis, coding, and writing that needs long reasoning chains.\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 send prompts, images, and videos through the dLazy CLI to the hosted Kimi K3 model for reasoning-heavy analysis, coding, and writing tasks.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill depends on a third-party npm CLI and hosted dLazy service.\n\nMitigation: Review the package before installation and use npx for non-persistent execution when appropriate.\n\nRisk: Prompts and selected local media files may be sent to dLazy hosted endpoints.\n\nMitigation: Avoid sending sensitive data unless the user's data-handling requirements allow it.\n\nRisk: A dLazy API key may be stored in local CLI configuration.\n\nMitigation: Use OS-level file protections, prefer per-invocation environment variables when needed, and rotate or revoke the key from dLazy if exposure is suspected.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/dlazyai/skills/dlazy-kimi-k3)\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 homepage](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, code, shell commands, configuration, guidance]\n\n**Output Format:** [JSON response from the dLazy CLI, with generated content or async task status.]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Supports prompt input plus optional image and video references; async mode can return a generateId for polling.]\n\n## Skill Version(s):\n\n1.2.13 (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 v1.2.13:SKILL-cn.md\n\n---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\"\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\",\"configLocatio","readmeExcerpt":"Skill: 文本生成 Kimi K3 Owner: dlazyai Summary: Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains. Tags: latest:1.2.22 Version history: v1.2.22 | 2026-10-10T01:18:11.501Z | user 例行版本更新 2026-10-10 v1.2.21 | 2026-10-08T01:18:04.003Z | user 例行版本更新 2026-10-08 v1.2.20 | 2026-10-04T01:16:57.619Z | user 例行版本更新 2026-10-04 v1.2.19","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\r\nname: dlazy-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"Moonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\"\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 kimi-k3 -h for help.\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nMoonshot AI thinking model with text, image, and video understanding. Suited to complex analysis, coding, and writing that needs long reasoning chains.\r\n\r\n## Trigger Keywords\r\n\r\n- kimi-k3\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 \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.d"},{"path":"_meta.json","content":"{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-kimi-k3\",\n \"version\": \"1.2.22\",\n \"publishedAt\": 1791595091501\n}"},{"path":"skill-card.md","content":"## Description:\n\nUses the dLazy Kimi K3 service for complex analysis, coding, and writing with text, image, and video understanding.\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 long-form analysis, coding help, and writing from the hosted Kimi K3 model, optionally supplying images or videos for understanding.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and explicitly supplied media may be sent to dLazy's hosted service.\n\nMitigation: Do not submit sensitive prompts or media without approval for external processing.\n\nRisk: Signing in or setting an API key stores credentials in local CLI configuration.\n\nMitigation: Protect the local configuration and rotate or revoke keys if exposed.\n\nRisk: Installation relies on an external npm CLI.\n\nMitigation: Review the upstream CLI before installing if stronger supply-chain assurance is needed.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-kimi-k3)\n- [dLazy CLI homepage (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, Markdown, Code, Guidance]\n\n**Output Format:** [Plain text or Markdown, including code when requested]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [The CLI returns a structured JSON result; asynchronous calls may return a task ID before the result is ready.]\n\n## Skill Version(s):\n\n1.2.22 (source: server-resolved ClawHub release; artifact frontmatter says 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-kimi-k3\r\nversion: 1.2.3\r\ndescription: \"月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\"\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 kimi-k3 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# dlazy-kimi-k3\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\n月之暗面深度思考模型，支持文本、图像与视频理解。适合需要长链推理的复杂分析、代码与写作任务。\r\n\r\n## 触发关键词\r\n\r\n- kimi-k3\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 \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 kimi-k3` 命令获取结果。\r\n\r\n```bash\r\ndlazy kimi-k3 -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 --videos [videos...] 参考视频 [video: url or local path] (max 8)\r\n --dry-run Print payload + cost estimate without calling API\r\n --no-wait Return generateId immediately for async tasks\r\n --timeout Max seconds to wait for async completion (default: \"1800\")\r\n --save 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 — `-` 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