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Dlazy Happyhorse 1.0

作者 dlazy · GitHub ↗ · v1.1.1 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install dlazy-happyhorse-1-0
功能描述
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 selec...
使用说明 (SKILL.md)

dlazy-happyhorse-1.0

English · 中文

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.

Trigger Keywords

  • happyhorse-1.0

Authentication

All requests require a dLazy API key. The recommended way to authenticate is:

dlazy login

This 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.

Alternative: Set the Key Manually

If you already have an API key, you can save it directly:

dlazy auth set YOUR_API_KEY

The 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.

Getting Your API Key Manually

  1. Sign in or create an account at dlazy.com
  2. Go to dlazy.com/dashboard/organization/api-key
  3. Copy the key shown in the API Key section

Each key is scoped to your dLazy organization and can be rotated or revoked at any time from the same dashboard.

About & Provenance

You can install on demand without persisting a global binary by running:

npx @dlazy/[email protected] \x3Ccommand>

Or, if you prefer a global install, the skill's metadata.clawdbot.install field declares the exact pinned version (npm install -g @dlazy/[email protected]). Review the GitHub source before installing.

How It Works

This skill is a thin client over the dLazy hosted API. When you invoke it:

  • Prompts and parameters you provide are sent to the dLazy API endpoint (api.dlazy.com) for inference.
  • 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.
  • Generated output URLs returned by the API are hosted on files.dlazy.com.

This 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 for the full service terms.

Usage

CRITICAL INSTRUCTION FOR AGENT: Execute dlazy happyhorse-1.0 to get the result.

dlazy happyhorse-1.0 -h

Options:
  --prompt [prompt]                    Prompt
  --generation_mode [generation_mode]  Generation Mode(t2v=T2V; i2v=I2V; r2v=R2V; edit=Edit) [default: t2v] (choices: "t2v", "i2v", "r2v", "edit")
  --firstFrame [firstFrame]            First Frame [image: url or local path] [only when generation_mode="i2v"]
  --images [images...]                 Images [image: url or local path] (max 9) [only when generation_mode="r2v" || generation_mode="edit"]
  --video [video]                      Video (URL) [video: url or local path] [only when generation_mode="edit"]
  --resolution [resolution]            Resolution [default: 1080P] (choices: "720P", "1080P")
  --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"]
  --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")]
  --audio_setting [audio_setting]      Audio Setting [default: auto] (choices: "auto", "origin") [only when generation_mode="edit"]
  --dry-run                            Print payload + cost estimate without calling API
  --no-wait                            Return generateId immediately for async tasks
  --timeout \x3Cseconds>                  Max seconds to wait for async completion (default: "1800")
  -h, --help                           display help for command

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.

Output Format

{
  "ok": true,
  "result": {
    "tool": "happyhorse-1.0",
    "modelId": "happyhorse-1-0",
    "outputs": [
      {
        "type": "image",
        "id": "o_xxxxxxxx",
        "url": "https://files.dlazy.com/result.png",
        "mimeType": "image/png"
      }
    ]
  }
}

Async tasks (when --no-wait is passed) return outputs: [] and a task: { generateId, status } field instead. Use dlazy status \x3CgenerateId> --wait to poll.

Examples

dlazy happyhorse-1.0 --prompt 'prompt content'

Error Handling

Code Error Type Example Message
401 Unauthorized (No API Key) ok: false, code: "unauthorized", message: "API key is missing or invalid"
501 Missing required parameter error: required option '--prompt \x3Cprompt>' not specified
502 Local file read error Error: Image file/Video file not found: C:\path o\your\file
503 API request failed (no balance) ok: false, code: "insufficient_balance"
503 API request failed (server error) HTTP status code error (500 server crash)
504 Asynchronous task execution failed === Generation Failed === / {Specific error reason returned by backend, for example "Prompt violates safety policy"}

AGENT CRITICAL INSTRUCTION:

  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
  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 and save it using dlazy auth set \x3Ckey> and resume the task.

Tips

Visit https://dlazy.com for more information.

安全使用建议
This skill appears coherent for cloud video generation. Before installing or invoking it, make sure you trust the @dlazy/cli npm package, understand that your dLazy API key will be stored locally, and only provide prompts or media files that you are comfortable uploading to dLazy.
功能分析
Type: OpenClaw Skill Name: dlazy-happyhorse-1-0 Version: 1.1.1 The skill bundle is a legitimate wrapper for the dLazy Happy Horse video generation service. It uses a pinned version of the official dLazy CLI (@dlazy/[email protected]) and follows standard SaaS patterns for authentication (storing keys in ~/.dlazy/config.json) and file handling (uploading media to files.dlazy.com). The instructions provided in SKILL.md for the AI agent are focused on error handling and user guidance for API key setup and credit management, showing no signs of malicious intent or prompt injection attacks.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
Coherent with the stated video-generation and editing purpose; SKILL.md says it is a "thin client over the dLazy hosted API" and explains that prompts and media are sent to dLazy for processing.
Instruction Scope
The instructions are mostly normal CLI usage, but SKILL.md documents pipe references such as "-", "@*", and "@stdin" that can pass upstream data into command arguments, so the agent should confirm what is being sent.
Install Mechanism
The skill has no bundled code, but SKILL.md declares external npm/npx usage pinned to @dlazy/[email protected]; this is purpose-aligned, but the external CLI code is outside the provided artifacts.
Credentials
Network access to api.dlazy.com and files.dlazy.com and local file reads for user-supplied media paths are disclosed and proportionate for a cloud video generation API.
Persistence & Privilege
The skill stores a dLazy API key in a local CLI config file, which is disclosed and scoped to the service but still deserves user attention.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install dlazy-happyhorse-1-0
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /dlazy-happyhorse-1-0 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.1.1
- Added detailed usage instructions, authentication steps, and error handling guidance for Happy Horse 1.0 video model. - Documented supported generation modes: text-to-video, first-frame-to-video, reference-to-video, and video editing with automatic sub-model selection. - Listed all available CLI options, output format examples, and common error cases. - Included critical instructions to inform users about resolving insufficient credit and API key issues. - Installation and configuration details for CLI updated; includes both npm and npx usage.
元数据
Slug dlazy-happyhorse-1-0
版本 1.1.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Dlazy Happyhorse 1.0 是什么?

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 selec... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 40 次。

如何安装 Dlazy Happyhorse 1.0?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install dlazy-happyhorse-1-0」即可一键安装,无需额外配置。

Dlazy Happyhorse 1.0 是免费的吗?

是的,Dlazy Happyhorse 1.0 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Dlazy Happyhorse 1.0 支持哪些平台?

Dlazy Happyhorse 1.0 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Dlazy Happyhorse 1.0?

由 dlazy(@dlazyai)开发并维护,当前版本 v1.1.1。

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