← 返回 Skills 市场
dlazyai

Dlazy Happyhorse1 0

作者 dlazy · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ 安全检测通过
149
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install dlazy-happyhorse1-0
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-happyhorse1-0

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

  • happyhorse1-0

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 happyhorse1-0 to get the result.

dlazy happyhorse1-0 -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": "happyhorse1-0",
    "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 happyhorse1-0 --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 purpose-aligned for using dLazy's hosted Happy Horse video model. Before installing, make sure you trust the pinned @dlazy/cli package, understand that a dLazy API key may be saved locally, and avoid passing private media or prompts unless you are comfortable sending them to dLazy.
功能分析
Type: OpenClaw Skill Name: dlazy-happyhorse1-0 Version: 1.1.0 The skill is a legitimate CLI wrapper for the dLazy Happy Horse 1.0 video generation service. It facilitates text-to-video and image-to-video tasks by invoking a pinned npm package (@dlazy/[email protected]). The instructions in SKILL.md are transparent regarding data flow (uploads to files.dlazy.com) and credential management (~/.dlazy/config.json), and the agent-specific instructions are limited to standard error handling and task execution logic without any signs of malicious intent or prompt injection attacks.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The skill's stated purpose is cloud video generation/editing, and the documented API calls and media uploads fit that purpose. Users should still notice that prompts and selected local media are sent to dLazy-hosted endpoints.
Instruction Scope
The instructions focus on invoking the relevant dLazy command and handling normal errors. The artifacts do not show goal hijacking, hidden stopping-condition changes, or unrelated tool use.
Install Mechanism
The skill is instruction-only and depends on the external pinned npm package @dlazy/[email protected] via npm/npx. The CLI source/package is referenced but not included in the reviewed artifacts.
Credentials
npm/npx, a dLazy account/API key, and network access to api.dlazy.com/files.dlazy.com are proportionate for a hosted video model, but they are sensitive operational dependencies.
Persistence & Privilege
Authentication can persist an API key in ~/.dlazy/config.json or the Windows user profile equivalent. No local background worker, self-propagation, or hidden persistence is shown.
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-happyhorse1-0
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /dlazy-happyhorse1-0 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
v1.1.0
- Added detailed usage instructions, authentication methods, and error handling guidance for the Happy Horse 1.0 video model. - Described all supported generation modes (t2v, i2v, r2v, edit) and automatic routing based on input. - Outlined all CLI options, parameters, output formats, and example commands. - Included explicit instructions for handling insufficient balance and missing API key errors. - Provided links to documentation, CLI source code, and support resources.
元数据
Slug dlazy-happyhorse1-0
版本 1.1.0
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 Happyhorse1 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 149 次。

如何安装 Dlazy Happyhorse1 0?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install dlazy-happyhorse1-0」即可一键安装,无需额外配置。

Dlazy Happyhorse1 0 是免费的吗?

是的,Dlazy Happyhorse1 0 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Dlazy Happyhorse1 0 支持哪些平台?

Dlazy Happyhorse1 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 Happyhorse1 0?

由 dlazy(@dlazyai)开发并维护,当前版本 v1.1.0。

💬 留言讨论