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dlazyai

Dlazy Happyhorse 1.0

by dlazy · GitHub ↗ · v1.1.1 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install dlazy-happyhorse-1-0
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 selec...
README (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.

Usage Guidance
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.
Capability Analysis
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.
Capability Tags
requires-sensitive-credentials
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install dlazy-happyhorse-1-0
  3. After installation, invoke the skill by name or use /dlazy-happyhorse-1-0
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug dlazy-happyhorse-1-0
Version 1.1.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Dlazy Happyhorse 1.0?

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... It is an AI Agent Skill for Claude Code / OpenClaw, with 40 downloads so far.

How do I install Dlazy Happyhorse 1.0?

Run "/install dlazy-happyhorse-1-0" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Dlazy Happyhorse 1.0 free?

Yes, Dlazy Happyhorse 1.0 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Dlazy Happyhorse 1.0 support?

Dlazy Happyhorse 1.0 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Dlazy Happyhorse 1.0?

It is built and maintained by dlazy (@dlazyai); the current version is v1.1.1.

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