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Apidot Happy Horse Api

核心功能为基于APIDot的Happy Horse API集成提供文档指引，涵盖文本/图片/参考图转视频、视频编辑、异步任务提交/轮询/webhook等工作流，还能引导至官方文档、示例及模型页面。典型场景包括搭建API集成、生成/编辑视频、实现异步工作流、查找官方资源等。输入为用户相关问题，输出为对应指引及官方链接，不做实际API调用，不存储凭据。

jiehao71727
jiehao71727
热度 24.76
最近更新 2026-07-07 07:59:08
分类：开发依赖：纯提示词应用场景：API 集成 / 视频编辑 / 工作流

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add apidot-happy-horse-api
Metadata
name
apidot-happy-horse-api
description
Use APIDot for Happy Horse API workflows, including Alibaba Happy Horse video generation, text-to-video API, image-to-video API, reference-to-video API, video editing API, async task submission, task_id handling, polling, task status, and webhook integration based on APIDot docs.
homepage
https://apidot.ai/models/happy-horse
metadata
{"openclaw":{"homepage":"https://apidot.ai/docs","primaryEnv":"APIDOT_API_KEY","envVars":[{"name":"APIDOT_API_KEY","required":false,"description":"APIDot API key for real API calls. Store it server-side only."}]}}

APIDot Happy Horse API

Use APIDot as a Happy Horse-focused API surface for text-to-video, image-to-video, reference-to-video, video editing, polling, and webhook workflows.

This skill is for routing Happy Horse questions to the right APIDot docs, examples, reference notes, and async integration pattern. It is documentation-only: it includes no scripts, makes no network requests, and does not store credentials.

This release contains SKILL.md plus non-executable notes in references/api.md. It includes no executable files, install-time automation, review automation helpers, shell automation, bundled API clients, automatic network calls, or stored credentials.

Start on APIDot

Use these APIDot entry points when coming from ClawHub:

When To Use

Use this skill when the user asks to:

  • Build a Happy Horse API integration with APIDot.
  • Generate videos from prompts, source images, reference images, or short source clips.
  • Use Alibaba Happy Horse, Happy Horse video generation, reference-to-video, or video editing through APIDot.
  • Choose between Happy Horse request modes.
  • Implement APIDot async Happy Horse jobs with task submission, task status polling, or webhook callbacks.
  • Find APIDot Happy Horse docs, model pages, or runnable examples.

Security Rules

  • Treat APIDOT_API_KEY as a secret.
  • Keep APIDot API keys in server-side environment variables or a backend secret manager.
  • Never place an API key in browser code, frontend bundles, public repos, logs, screenshots, or chat output.
  • Do not make live API calls unless the user explicitly asks and provides a safe server-side environment.
  • Do not invent API facts, commercial terms, model availability, reliability claims, or competitor comparisons.
  • Use current APIDot docs and model pages for model-specific request fields and current product details.

Happy Horse Workflow

APIDot Happy Horse generation usually follows an async task pattern:

  1. Choose the Happy Horse request mode from the current APIDot docs.
  2. Submit the video generation or edit request through the documented APIDot async generation flow.
  3. Save the returned data.task_id immediately.
  4. Poll task status with the documented task status API for local tests.
  5. Use callback_url webhook delivery for production queues or user workflows that may outlive the current page.
  6. Store final video URLs only after the task reaches a terminal success state.

Do not guess model-specific payload fields. If the user needs copyable request examples, point them to the current APIDot docs or the matching APIDot GitHub example.

Model Routing

Start from the user's Happy Horse task, then open the matching APIDot source:

User Goal Start Here
Browse APIDot Happy Horse model page https://apidot.ai/models/happy-horse
Read APIDot API docs https://apidot.ai/docs
Learn APIDot quickstart flow https://apidot.ai/docs/quickstart
Implement webhooks https://apidot.ai/docs/webhooks
Build with Happy Horse https://apidot.ai/docs/happy-horse
Use runnable Happy Horse examples https://github.com/APIDotAI/happy-horse-api
Use general APIDot examples https://github.com/APIDotAI/apidot-examples

For Happy Horse request modes, prefer the live APIDot model page and docs page. Do not copy request fields from another video model family unless the APIDot docs show the same field.

Use references/api.md for a local, non-executable summary of Happy Horse model routing, request planning, and async workflow notes.

Integration Guidance

  • Use apidot-video-generation-api when the user needs broad video generation guidance across several model families.
  • Use this skill when the user is specifically building with Happy Horse through APIDot.
  • Ask which Happy Horse task the user needs before choosing a model-specific example: text-to-video, image-to-video, reference-to-video, or video editing.
  • Persist task_id, selected model, user ID, source media references, request status, and final video URLs together.
  • Validate source media URLs before submitting workflows that depend on images or video inputs.
  • Treat webhook handlers as idempotent. Duplicate callback deliveries should not create duplicate visible results.
  • Retry transient network failures with backoff. Do not retry invalid payloads unchanged.
  • Avoid logging API keys, private prompts, private media URLs, generated video URLs, or callback URLs.

Official Links