{"id":"83c7aab3-dfc4-4f08-b0c8-bf7dc4013965","entityType":"agent","slug":"clawhub-dlazyai-dlazy-happyhorse-1-0","name":"视频生成 快马 Happyhorse 1.0","canonicalUrl":"https://www.xpersona.co/agent/clawhub-dlazyai-dlazy-happyhorse-1-0","canonicalPath":"/agent/clawhub-dlazyai-dlazy-happyhorse-1-0","generatedAt":"2026-10-10T05:14:04.533Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-09T09:02:50.773Z","emptyReason":null},"description":"Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。","descriptionLabel":"Source description","evidenceSummary":"Capability contract not published. 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Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\n\nTags: latest:1.3.26\n\nVersion history:\n\nv1.3.26 | 2026-10-08T01:12:27.154Z | user\n\n例行版本更新 2026-10-08\n\nv1.3.25 | 2026-10-04T01:11:26.538Z | user\n\n例行版本更新 2026-10-04\n\nv1.3.24 | 2026-10-02T04:54:19.133Z | user\n\n例行版本更新 2026-10-02\n\nv1.3.23 | 2026-09-30T01:10:36.403Z | user\n\n例行版本更新 2026-09-30\n\nv1.3.22 | 2026-09-28T02:09:15.378Z | user\n\n例行版本更新 2026-09-28\n\nv1.3.21 | 2026-09-28T01:11:44.019Z | user\n\n例行版本更新 2026-09-28\n\nv1.3.20 | 2026-09-24T01:48:02.229Z | user\n\n例行版本更新 2026-09-24\n\nv1.3.19 | 2026-09-24T01:25:54.842Z | user\n\n例行版本更新 2026-09-24\n\nv1.3.18 | 2026-09-22T01:09:22.815Z | user\n\n例行版本更新 2026-09-22\n\nv1.3.17 | 2026-09-20T01:12:19.846Z | user\n\n例行版本更新 2026-09-20\n\nv1.3.16 | 2026-09-18T01:35:42.746Z | user\n\n例行版本更新 2026-09-18\n\nv1.3.15 | 2026-09-14T01:10:33.882Z | user\n\n例行版本更新 2026-09-14\n\nv1.3.14 | 2026-09-10T01:08:49.540Z | user\n\n例行版本更新 2026-09-10\n\nv1.3.13 | 2026-09-08T01:09:21.735Z | user\n\n例行版本更新 2026-09-08\n\nv1.3.12 | 2026-09-07T01:12:08.449Z | user\n\n例行版本更新 2026-09-07\n\nv1.3.11 | 2026-09-04T01:14:38.769Z | user\n\n例行版本更新 2026-09-04\n\nv1.3.10 | 2026-09-02T01:09:22.241Z | user\n\n例行版本更新 2026-09-02\n\nv1.3.9 | 2026-08-31T02:50:12.067Z | user\n\n源码仓库迁移至 github.com/dlazy-ai/cli\n\nv1.3.8 | 2026-08-24T09:20:53.090Z | user\n\nRestore Chinese display name\n\nv1.3.7 | 2026-08-17T09:03:00.737Z | user\n\nRestore Chinese display name\n\nv1.3.6 | 2026-08-10T05:44:44.697Z | user\n\nRestore Chinese display name\n\nv1.3.5 | 2026-08-10T03:59:19.555Z | user\n\nRestore Chinese display name\n\nv1.3.4 | 2026-07-21T02:15:14.083Z | auto\n\n- Updated dependency to use @dlazy/cli version 1.2.3 (was 1.2.2)\n- Updated installation instructions and references to reflect the new CLI version\n- Removed the skill-card.md file\n- Minor documentation updates in SKILL.md and SKILL-cn.md\n\nv1.3.3 | 2026-07-17T10:08:54.213Z | auto\n\n- Updated the underlying CLI dependency to use @dlazy/cli version 1.2.2.\n- Changed global and on-demand install instructions to match the new pinned CLI version.\n- Removed the file skill-card.md.\n- Minor metadata formatting changes and version bump.\n- No changes to user-facing features or API usage.\n\nv1.2.2 | 2026-07-17T08:41:30.189Z | auto\n\n- Removed the file skill-card.md.\n- No changes to core functionality or documentation content.\n\nv1.3.2 | 2026-07-09T01:46:06.321Z | user\n\nset Chinese display name for CN search\n\nv1.3.1 | 2026-07-09T01:45:53.092Z | user\n\nset Chinese display name for CN search\n\nv1.3.0 | 2026-07-07T19:41:41.455Z | auto\n\ndlazy-happyhorse-1-0 version 1.3.0 changelog:\n\n- Updated documentation in both English and Chinese (SKILL.md, SKILL-cn.md).\n- No changes to functionality or command-line options.\n- Version bump to 1.3.0.\n\nv1.2.1 | 2026-07-07T18:30:28.443Z | auto\n\ndlazy-happyhorse-1-0 v1.2.1\n\n- Added a Chinese description to the top-level skill metadata for improved bilingual clarity.\n- Removed the redundant skill-card.md documentation file.\n- Updated version number and minor documentation adjustments.\n\nv1.2.0 | 2026-06-02T09:53:52.084Z | auto\n\n- Updated npm install instructions to use the latest @dlazy/cli version instead of a pinned version.\n- Adjusted option orders and choices for --generation_mode in the CLI help documentation.\n- Updated output format example: modelId is now \"happyhorse-1.0\" (was \"happyhorse-1-0\").\n- Removed the file skill-card.md.\n\nv1.1.2 | 2026-06-02T01:37:58.000Z | user\n\nUpdate model skills (names/params refreshed); add search-audio/image/video\n\nv1.1.1 | 2026-05-06T14:04:53.798Z | auto\n\n- Added detailed usage instructions, authentication steps, and error handling guidance for Happy Horse 1.0 video model.\n- Documented supported generation modes: text-to-video, first-frame-to-video, reference-to-video, and video editing with automatic sub-model selection.\n- Listed all available CLI options, output format examples, and common error cases.\n- Included critical instructions to inform users about resolving insufficient credit and API key issues.\n- Installation and configuration details for CLI updated; includes both npm and npx usage.\n\nArchive index:\n\nArchive v1.3.26: 4 files, 8769 bytes\n\nFiles: skill-card.md (1884b), SKILL-cn.md (8135b), SKILL.md (8364b), _meta.json (140b)\n\nFile v1.3.26:SKILL.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h for help.\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model.\r\n\r\n## Trigger Keywords\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` to get the result.\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --generation_mode [generation_mode] Generation Mode（t2v=T2V; r2v=R2V; i2v=I2V; edit=Edit） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] First Frame [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] Images [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] Video (URL) [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] Resolution [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] Aspect Ratio [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] Duration (s) [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] Audio Setting [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.26:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-happyhorse-1-0\",\n \"version\": \"1.3.26\",\n \"publishedAt\": 1791421947154\n}\n\nFile v1.3.26:skill-card.md\n\n## Description:\n\nHelps agents create or edit videos with Happy Horse 1.0 using text prompts, first frames, reference images, or existing videos through dLazy.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to guide text-to-video, first-frame-to-video, reference-to-video, and video-editing requests through the dLazy service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and supplied image, video, or audio files are sent to dLazy; generated outputs are hosted there.\n\nMitigation: Share only content suitable for the dLazy cloud service and review its terms before submitting sensitive media.\n\nRisk: The CLI may save a dLazy API key on the local device.\n\nMitigation: Protect local credentials, or supply the key per invocation with DLAZY_API_KEY instead of saving it in the CLI config.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-happyhorse-1-0)\n- [dLazy CLI repository (listed in skill metadata)](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Guidance]\n\n**Output Format:** [Text instructions and JSON result metadata]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Results may include hosted media URLs or an asynchronous task ID.]\n\n## Skill Version(s):\n\n1.3.26 (source: server-resolved ClawHub release; artifact frontmatter lists 1.3.4)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.26:SKILL-cn.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\r\n\r\n## 触发关键词\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` 命令获取结果。\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --generation_mode [generation_mode] 生成模式（t2v=文生; r2v=参考图; i2v=首帧; edit=编辑） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] 首帧图 [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] 参考图 [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] 视频链接 [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] 分辨率 [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] 画幅比例 [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] 时长（秒） [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] 声音控制 [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.25: 4 files, 8672 bytes\n\nFiles: skill-card.md (1759b), SKILL-cn.md (8135b), SKILL.md (8364b), _meta.json (140b)\n\nFile v1.3.25:SKILL.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h for help.\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model.\r\n\r\n## Trigger Keywords\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` to get the result.\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --generation_mode [generation_mode] Generation Mode（t2v=T2V; r2v=R2V; i2v=I2V; edit=Edit） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] First Frame [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] Images [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] Video (URL) [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] Resolution [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] Aspect Ratio [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] Duration (s) [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] Audio Setting [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.25:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-happyhorse-1-0\",\n \"version\": \"1.3.25\",\n \"publishedAt\": 1791076286538\n}\n\nFile v1.3.25:skill-card.md\n\n## Description:\n\nHelps agents generate or edit videos from text, a first frame, or reference media using Happy Horse 1.0 through the dLazy CLI.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to request text-to-video, first-frame-to-video, reference-to-video, and video-editing results from dLazy's hosted service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and selected local media are sent to dLazy's hosted service.\n\nMitigation: Review prompts and media for sensitive content before submitting them.\n\nRisk: Login or key setup can store a dLazy API key locally.\n\nMitigation: Use DLAZY_API_KEY for per-invocation authentication when local key storage is not desired.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-happyhorse-1-0)\n- [dLazy CLI repository (listed in skill metadata)](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package (listed in skill metadata)](https://www.npmjs.com/package/@dlazy/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Guidance]\n\n**Output Format:** [Markdown with shell commands]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Commands can return links to generated media or save results locally.]\n\n## Skill Version(s):\n\n1.3.25 (source: server-resolved ClawHub release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.25:SKILL-cn.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\r\n\r\n## 触发关键词\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` 命令获取结果。\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --generation_mode [generation_mode] 生成模式（t2v=文生; r2v=参考图; i2v=首帧; edit=编辑） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] 首帧图 [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] 参考图 [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] 视频链接 [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] 分辨率 [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] 画幅比例 [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] 时长（秒） [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] 声音控制 [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.24: 4 files, 8801 bytes\n\nFiles: skill-card.md (2039b), SKILL-cn.md (8135b), SKILL.md (8364b), _meta.json (140b)\n\nFile v1.3.24:SKILL.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h for help.\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model.\r\n\r\n## Trigger Keywords\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` to get the result.\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --generation_mode [generation_mode] Generation Mode（t2v=T2V; r2v=R2V; i2v=I2V; edit=Edit） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] First Frame [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] Images [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] Video (URL) [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] Resolution [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] Aspect Ratio [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] Duration (s) [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] Audio Setting [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.24:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-happyhorse-1-0\",\n \"version\": \"1.3.24\",\n \"publishedAt\": 1790916859133\n}\n\nFile v1.3.24:skill-card.md\n\n## Description:\n\nHelps agents generate and edit videos from text, images, or video using dLazy's Happy Horse 1.0 service.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to ask an agent to create videos from prompts or reference images, or to edit an existing video through dLazy.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and selected media may be uploaded to the dLazy service, and generated outputs are hosted there.\n\nMitigation: Only submit content authorized for third-party processing and review the service's data-handling terms before use.\n\nRisk: The dLazy API key may be saved in local CLI configuration.\n\nMitigation: Use the per-invocation environment variable option if local key storage is unsuitable, and protect or rotate credentials as needed.\n\nRisk: Using the skill requires installing or running a third-party npm CLI.\n\nMitigation: Review the CLI package and its permissions before installation or execution.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-happyhorse-1-0)\n- [dLazy CLI package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy CLI repository (listed in skill metadata)](https://github.com/dlazy-ai/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Guidance, Text]\n\n**Output Format:** [Markdown with shell commands and generated-result links]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [The service hosts generated assets; asynchronous requests can return a task ID before results are ready.]\n\n## Skill Version(s):\n\n1.3.24 (source: ClawHub release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.24:SKILL-cn.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\r\n\r\n## 触发关键词\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` 命令获取结果。\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --generation_mode [generation_mode] 生成模式（t2v=文生; r2v=参考图; i2v=首帧; edit=编辑） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] 首帧图 [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] 参考图 [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] 视频链接 [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] 分辨率 [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] 画幅比例 [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] 时长（秒） [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] 声音控制 [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.23: 4 files, 8759 bytes\n\nFiles: skill-card.md (1914b), SKILL-cn.md (8135b), SKILL.md (8364b), _meta.json (140b)\n\nFile v1.3.23:SKILL.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h for help.\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model.\r\n\r\n## Trigger Keywords\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` to get the result.\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --generation_mode [generation_mode] Generation Mode（t2v=T2V; r2v=R2V; i2v=I2V; edit=Edit） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] First Frame [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] Images [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] Video (URL) [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] Resolution [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] Aspect Ratio [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] Duration (s) [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] Audio Setting [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.23:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-happyhorse-1-0\",\n \"version\": \"1.3.23\",\n \"publishedAt\": 1790730636403\n}\n\nFile v1.3.23:skill-card.md\n\n## Description:\n\nHelps agents generate or edit videos from text, first frames, reference images, or existing videos through dLazy's Happy Horse 1.0 service.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to request video generation from text, a first frame, or reference images, and to edit an existing video through dLazy.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and user-provided media are sent to dLazy's hosted service.\n\nMitigation: Confirm you trust dLazy and avoid submitting sensitive prompts or media without authorization.\n\nRisk: The dLazy CLI stores an API key locally for authentication.\n\nMitigation: Protect the key and rotate or revoke it from the dLazy dashboard if needed.\n\nRisk: Installing the third-party CLI runs external software.\n\nMitigation: Review the CLI before installation and use the pinned npx command if a persistent global install is unnecessary.\n\n## Reference(s):\n\n- [dLazy CLI source code](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy website](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Guidance]\n\n**Output Format:** [Markdown with CLI commands and JSON response examples]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [The CLI can return hosted result URLs or asynchronous task IDs.]\n\n## Skill Version(s):\n\n1.3.23 (source: ClawHub release metadata; bundled skill frontmatter says 1.3.4)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.23:SKILL-cn.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\r\n\r\n## 触发关键词\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` 命令获取结果。\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --generation_mode [generation_mode] 生成模式（t2v=文生; r2v=参考图; i2v=首帧; edit=编辑） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] 首帧图 [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] 参考图 [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] 视频链接 [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] 分辨率 [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] 画幅比例 [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] 时长（秒） [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] 声音控制 [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.22: 4 files, 8718 bytes\n\nFiles: skill-card.md (1806b), SKILL-cn.md (8135b), SKILL.md (8364b), _meta.json (140b)\n\nFile v1.3.22:SKILL.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h for help.\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model.\r\n\r\n## Trigger Keywords\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` to get the result.\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --generation_mode [generation_mode] Generation Mode（t2v=T2V; r2v=R2V; i2v=I2V; edit=Edit） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] First Frame [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] Images [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] Video (URL) [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] Resolution [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] Aspect Ratio [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] Duration (s) [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] Audio Setting [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.22:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-happyhorse-1-0\",\n \"version\": \"1.3.22\",\n \"publishedAt\": 1790561355378\n}\n\nFile v1.3.22:skill-card.md\n\n## Description:\n\nHelps agents create or edit videos from text, a starting frame, or reference images using Happy Horse 1.0.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to guide text-to-video, first-frame-to-video, reference-to-video, and video-editing requests through the dLazy service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Authentication may store a dLazy API key locally.\n\nMitigation: Confirm trust in the dLazy CLI and service before installing or saving a key.\n\nRisk: Generation may consume paid credits.\n\nMitigation: Check the cost estimate before submitting a paid request.\n\nRisk: Prompts and explicitly supplied media may be uploaded to dLazy-hosted endpoints.\n\nMitigation: Share only prompts and files you are comfortable sending to the service.\n\n## Reference(s):\n\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, Shell commands, Guidance]\n\n**Output Format:** [Markdown with shell commands and result links]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May report a hosted result URL or an asynchronous task ID.]\n\n## Skill Version(s):\n\n1.3.22 (source: ClawHub release metadata; artifact frontmatter lists 1.3.4)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.22:SKILL-cn.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\r\n\r\n## 触发关键词\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` 命令获取结果。\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --generation_mode [generation_mode] 生成模式（t2v=文生; r2v=参考图; i2v=首帧; edit=编辑） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] 首帧图 [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] 参考图 [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] 视频链接 [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] 分辨率 [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] 画幅比例 [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] 时长（秒） [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] 声音控制 [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.21: 4 files, 8762 bytes\n\nFiles: skill-card.md (1935b), SKILL-cn.md (8135b), SKILL.md (8364b), _meta.json (140b)\n\nFile v1.3.21:SKILL.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h for help.\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model.\r\n\r\n## Trigger Keywords\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` to get the result.\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --generation_mode [generation_mode] Generation Mode（t2v=T2V; r2v=R2V; i2v=I2V; edit=Edit） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] First Frame [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] Images [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] Video (URL) [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] Resolution [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] Aspect Ratio [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] Duration (s) [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] Audio Setting [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.21:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-happyhorse-1-0\",\n \"version\": \"1.3.21\",\n \"publishedAt\": 1790557904019\n}\n\nFile v1.3.21:skill-card.md\n\n## Description:\n\nHelps agents create or edit videos with Happy Horse 1.0 using text prompts, first frames, or reference images through the dLazy CLI.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to guide an agent through text-to-video, first-frame-to-video, reference-to-video, and video-editing requests with the dLazy CLI.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Installing a third-party CLI adds an executable to the environment.\n\nMitigation: Review the CLI package before installation; use the pinned npx option if a persistent global install is not wanted.\n\nRisk: Prompts and selected media files are sent to dLazy cloud services.\n\nMitigation: Only submit prompts and media that are appropriate to share with the service.\n\nRisk: The dLazy API key may be stored locally.\n\nMitigation: Protect local credentials and rotate or revoke the key in the dLazy dashboard when needed.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-happyhorse-1-0)\n- [dLazy CLI package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy CLI repository (listed in skill metadata)](https://github.com/dlazy-ai/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Guidance]\n\n**Output Format:** [Text with shell commands and JSON results]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [CLI results may contain generated-media URLs or asynchronous task IDs.]\n\n## Skill Version(s):\n\n1.3.21 (source: ClawHub release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.3.21:SKILL-cn.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\r\n\r\n## 触发关键词\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` 命令获取结果。\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --generation_mode [generation_mode] 生成模式（t2v=文生; r2v=参考图; i2v=首帧; edit=编辑） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] 首帧图 [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] 参考图 [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] 视频链接 [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] 分辨率 [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] 画幅比例 [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] 时长（秒） [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] 声音控制 [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.20: 4 files, 8890 bytes\n\nFiles: skill-card.md (2243b), SKILL-cn.md (8135b), SKILL.md (8364b), _meta.json (140b)\n\nFile v1.3.20:SKILL.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h for help.\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model.\r\n\r\n## Trigger Keywords\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` to get the result.\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --generation_mode [generation_mode] Generation Mode（t2v=T2V; r2v=R2V; i2v=I2V; edit=Edit） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] First Frame [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] Images [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] Video (URL) [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] Resolution [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] Aspect Ratio [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] Duration (s) [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] Audio Setting [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.20:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-happyhorse-1-0\",\n \"version\": \"1.3.20\",\n \"publishedAt\": 1790214482229\n}\n\nFile v1.3.20:skill-card.md\n\n## Description:\n\nHappy Horse 1.0 video model covers text-to-video, first-frame-to-video, reference-to-video, and video editing, automatically routing each selected mode to the matching sub-model.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to call the dLazy Happy Horse 1.0 hosted video-generation service for text-to-video, image/reference-to-video, and video-editing workflows through the dLazy CLI.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The dLazy CLI stores an API key locally for authenticated requests.\n\nMitigation: Use the per-invocation DLAZY_API_KEY environment variable or rotate and revoke saved keys from the dLazy dashboard when access should change.\n\nRisk: Prompts and explicitly provided media files are sent to dLazy's hosted API and media storage.\n\nMitigation: Only submit content appropriate for the third-party dLazy service and review the service terms before sending sensitive media.\n\nRisk: A global CLI install persists a third-party executable on the system.\n\nMitigation: Use the pinned 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-happyhorse-1-0)\n- [dLazy CLI Source](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm Package](https://www.npmjs.com/package/@dlazy/cli)\n- [dLazy Homepage](https://dlazy.com)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Configuration, Guidance, JSON]\n\n**Output Format:** [Markdown guidance with shell commands and JSON response examples]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May return hosted media URLs, asynchronous task identifiers, or saved local assets when the CLI --save option is used.]\n\n## Skill Version(s):\n\n1.3.20 (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 v1.3.20:SKILL-cn.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\r\n\r\n## 触发关键词\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` 命令获取结果。\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --generation_mode [generation_mode] 生成模式（t2v=文生; r2v=参考图; i2v=首帧; edit=编辑） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] 首帧图 [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] 参考图 [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] 视频链接 [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] 分辨率 [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] 画幅比例 [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] 时长（秒） [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] 声音控制 [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.19: 4 files, 8886 bytes\n\nFiles: skill-card.md (2267b), SKILL-cn.md (8135b), SKILL.md (8364b), _meta.json (140b)\n\nFile v1.3.19:SKILL.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h for help.\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model.\r\n\r\n## Trigger Keywords\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` to get the result.\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --generation_mode [generation_mode] Generation Mode（t2v=T2V; r2v=R2V; i2v=I2V; edit=Edit） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] First Frame [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] Images [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] Video (URL) [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] Resolution [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] Aspect Ratio [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] Duration (s) [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] Audio Setting [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## Examples\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.19:_meta.json\n\n{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-happyhorse-1-0\",\n \"version\": \"1.3.19\",\n \"publishedAt\": 1790213154842\n}\n\nFile v1.3.19:skill-card.md\n\n## Description:\n\nHappy Horse 1.0 video model covers text-to-video, first-frame-to-video, reference-to-video, and video editing through the dLazy hosted API.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users and developers use this skill to generate or edit videos by calling the dLazy Happy Horse 1.0 model from an agent workflow. It supports text prompts, first-frame inputs, reference images, and video-editing inputs.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The skill sends prompts and explicitly supplied media files to the dLazy hosted API and media storage.\n\nMitigation: Do not submit confidential prompts or media unless the dLazy service terms and data-handling posture are acceptable for the use case.\n\nRisk: Authentication can save a dLazy API key in the local CLI configuration file.\n\nMitigation: Use the documented local config protections, rotate or revoke keys from the dLazy dashboard when needed, and prefer per-invocation credentials where appropriate.\n\nRisk: Global installation requires trusting the pinned dLazy CLI package.\n\nMitigation: Use the pinned `npx @dlazy/cli@1.2.3` path when a persistent global CLI installation is not desired.\n\n## Reference(s):\n\n- [ClawHub skill listing](https://clawhub.ai/dlazyai/skills/dlazy-happyhorse-1-0)\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, markdown, shell commands, configuration, guidance]\n\n**Output Format:** [Markdown guidance with shell commands and JSON result examples]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [The invoked CLI returns JSON containing generated media URLs or asynchronous task status.]\n\n## Skill Version(s):\n\n1.3.19 (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 v1.3.19:SKILL-cn.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\r\n\r\n## 触发关键词\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` 命令获取结果。\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --generation_mode [generation_mode] 生成模式（t2v=文生; r2v=参考图; i2v=首帧; edit=编辑） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] 首帧图 [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] 参考图 [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] 视频链接 [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] 分辨率 [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] 画幅比例 [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] 时长（秒） [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] 声音控制 [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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\": \"happyhorse-1.0\",\r\n \"modelId\": \"happyhorse-1-0\",\r\n \"outputs\": [\r\n {\r\n \"type\": \"image\",\r\n \"id\": \"o_xxxxxxxx\",\r\n \"url\": \"https://files.dlazy.com/result.png\",\r\n \"mimeType\": \"image/png\"\r\n }\r\n ]\r\n }\r\n}\r\n```\r\n\r\n> Async tasks (when `--no-wait` is passed) return `outputs: []` and a `task: { generateId, status }` field instead. Use `dlazy status --wait` to poll.\r\n\r\n## 命令示例\r\n\r\n```bash\r\ndlazy happyhorse-1.0 --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 v1.3.18: 4 files, 8945 bytes\n\nFiles: skill-card.md (2334b), SKILL-cn.md (8135b), SKILL.md (8364b), _meta.json (140b)\n\nFile v1.3.18:SKILL.md\n\n---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h for help.\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model.\r\n\r\n## Trigger Keywords\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` to get the result.\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] Prompt\r\n --generation_mode [generation_mode] Generation Mode（t2v=T2V; r2v=R2V; i2v=I2V; edit=Edit） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] First Frame [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] Images [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] Video (URL) [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] Resolution [default: 1080P] (choices: \"720P\", \"1080P\")\r\n --ratio [ratio] Aspect Ratio [default: 16:9] (choices: \"16:9\", \"9:16\", \"1:1\", \"4:3\", \"3:4\") [only when generation_mode=\"t2v\" || generation_mode=\"r2v\"]\r\n --duration [duration] Duration (s) [default: 5] (choices: \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\", \"11\", \"12\", \"13\", \"14\", \"15\") [only when !(generation_mode=\"edit\")]\r\n --audio_setting [audio_setting] Audio Setting [default: auto] (choices: \"auto\", \"origin\") [only when generation_mode=\"edit\"]\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 \n\nArchive v1.3.17: 4 files, 8890 bytes\n\nFiles: skill-card.md (2231b), SKILL-cn.md (8135b), SKILL.md (8364b), _meta.json (140b)","readmeExcerpt":"Skill: 视频生成 快马 Happyhorse 1.0 Owner: dlazyai Summary: Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。 Tags: latest:1.3.26 Version history: v1.3.26 | 2026-10-08T01:","codeSnippets":[],"executableExamples":[],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\r\nname: dlazy-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model. Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h for help.\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 video model — one model covers text-to-video (t2v), first-frame-to-video (i2v), reference-to-video (r2v), and video editing (edit). The selected mode is automatically routed to the matching sub-model.\r\n\r\n## Trigger Keywords\r\n\r\n- happyhorse-1.0\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 host"},{"path":"_meta.json","content":"{\n \"ownerId\": \"kn7c5wgeajfcfvdfb5ceemvdb984cjpd\",\n \"slug\": \"dlazy-happyhorse-1-0\",\n \"version\": \"1.3.26\",\n \"publishedAt\": 1791421947154\n}"},{"path":"skill-card.md","content":"## Description:\n\nHelps agents create or edit videos with Happy Horse 1.0 using text prompts, first frames, reference images, or existing videos through dLazy.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[dlazyai](https://clawhub.ai/user/dlazyai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nCreators and developers use this skill to guide text-to-video, first-frame-to-video, reference-to-video, and video-editing requests through the dLazy service.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Prompts and supplied image, video, or audio files are sent to dLazy; generated outputs are hosted there.\n\nMitigation: Share only content suitable for the dLazy cloud service and review its terms before submitting sensitive media.\n\nRisk: The CLI may save a dLazy API key on the local device.\n\nMitigation: Protect local credentials, or supply the key per invocation with DLAZY_API_KEY instead of saving it in the CLI config.\n\n## Reference(s):\n\n- [ClawHub skill release](https://clawhub.ai/dlazyai/skills/dlazy-happyhorse-1-0)\n- [dLazy CLI repository (listed in skill metadata)](https://github.com/dlazy-ai/cli)\n- [dLazy CLI npm package](https://www.npmjs.com/package/@dlazy/cli)\n\n## Skill Output:\n\n**Output Type(s):** [Shell commands, Guidance]\n\n**Output Format:** [Text instructions and JSON result metadata]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [Results may include hosted media URLs or an asynchronous task ID.]\n\n## Skill Version(s):\n\n1.3.26 (source: server-resolved ClawHub release; artifact frontmatter lists 1.3.4)\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-happyhorse-1.0\r\nversion: 1.3.4\r\ndescription: \"Happy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\"\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 happyhorse-1.0 -h 查看帮助信息。\"}}\r\n---\r\n\r\n# 视频生成 快马 Happyhorse 1.0\r\n\r\n[English](./SKILL.md) · [中文](./SKILL-cn.md)\r\n\r\n\r\nHappy Horse 1.0 视频模型，一站式覆盖文生视频（t2v）、首帧生视频（i2v）、参考图生视频（r2v）与视频编辑（edit）：根据所选模式自动路由到对应子模型。\r\n\r\n## 触发关键词\r\n\r\n- happyhorse-1.0\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 happyhorse-1.0` 命令获取结果。\r\n\r\n```bash\r\ndlazy happyhorse-1.0 -h\r\n\r\nOptions:\r\n --prompt [prompt] 提示词\r\n --generation_mode [generation_mode] 生成模式（t2v=文生; r2v=参考图; i2v=首帧; edit=编辑） [default: t2v] (choices: \"t2v\", \"r2v\", \"i2v\", \"edit\")\r\n --firstFrame [firstFrame] 首帧图 [image: url or local path] [only when generation_mode=\"i2v\"]\r\n --images [images...] 参考图 [image: url or local path] (max 9) [only when generation_mode=\"r2v\" || generation_mode=\"edit\"]\r\n --video [video] 视频链接 [video: url or local path] [only when generation_mode=\"edit\"]\r\n --resolution [resolution] 分辨率 [default: 1080P] (ch"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":null,"editorialQuality":{"score":100,"threshold":65,"status":"thin","wordCount":1297,"uniquenessScore":41,"reasons":["uniqueness-below-45"]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-09T09:02:50.773Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-09T09:02:50.773Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-10T05:14:04.533Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. 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