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Apidot Ai Api

作者 jiehao71727 · GitHub ↗ · v1.0.2 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install apidot-ai-api
功能描述
Use APIDot as one AI API for image generation API, video generation API, chat API, music generation API, and 3D generation API workflows. Use when users ask...
使用说明 (SKILL.md)

APIDot AI API

Use APIDot as one API surface for image generation, video generation, chat, music, and 3D generation workflows.

APIDot is most useful when the user wants to test AI models quickly, move from playground usage to backend code, or avoid wiring separate provider-specific auth, polling, webhook, and billing patterns.

When To Use

Use this skill when the user asks to:

  • Call APIDot or learn how APIDot works.
  • Build with image generation or image editing APIs.
  • Build with text-to-video, image-to-video, or video generation APIs.
  • Call chat, music, or 3D generation models through APIDot.
  • Use GPT Image 2, Seedance, Veo, Sora, Kling, Nano Banana, Seedream, Flux, Meshy, Tripo, or related model APIs through APIDot.
  • Implement polling, task status checks, or webhook callbacks for generated media.
  • Find official APIDot 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.
  • Never invent API facts, pricing, model availability, reliability claims, refund behavior, or competitor comparisons.
  • Use current APIDot docs and model pages for model-specific request fields and current product details.

Quickstart

  1. Create an API key in the APIDot dashboard:

    https://apidot.ai/dashboard/api-key

  2. Store it server-side:

export APIDOT_API_KEY="YOUR_API_KEY_HERE"
  1. Submit a generation task:
curl -s -X POST "https://api.apidot.ai/api/generate/submit" \
  -H "Authorization: Bearer $APIDOT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MODEL_ID",
    "input": {
      "prompt": "Describe the output you want"
    }
  }'
  1. Save the returned data.task_id immediately.

  2. Poll task status:

curl -s "https://api.apidot.ai/api/generate/status/TASK_ID" \
  -H "Authorization: Bearer $APIDOT_API_KEY"
  1. For backend integrations that can receive callbacks, pass callback_url when submitting the task and handle the final result through a webhook.

Model Routing

Start from the task type, then open the matching APIDot docs or examples:

Task Start Here
Browse available models https://apidot.ai/models
Read API docs https://apidot.ai/docs
Run cURL or Node examples https://github.com/APIDotAI/apidot-examples
Image generation or editing https://github.com/APIDotAI/apidot-examples#image-models
Video generation https://github.com/APIDotAI/apidot-examples#video-models
Polling https://github.com/APIDotAI/apidot-examples#polling-and-webhooks
Webhooks https://github.com/APIDotAI/apidot-examples#polling-and-webhooks

For model-specific request fields, prefer the live APIDot docs page for that model. Do not guess fields or copy parameters from another provider.

Integration Guidance

  • Chat requests may use direct model-specific endpoints when the current docs say so.
  • Image, video, music, and 3D generation usually use an async task pattern: submit, store task_id, then poll status or receive a webhook.
  • Always persist task_id before polling or waiting for callbacks.
  • Treat webhooks as idempotent. Duplicate deliveries should not create duplicate user-visible results.
  • Retry transient failures with backoff. Do not retry invalid payloads unchanged.
  • If the user asks for production code, point them to the official examples and adapt from those files rather than inventing undocumented request shapes.

Official Links

安全使用建议
Install only for trusted ClawHub maintainers who understand the repo’s admin and production workflows. Before using autoreview, consider setting AUTOREVIEW_YOLO=0 or passing --no-yolo, and be aware that fallback reviewers may receive generated diffs. Use the moderation and migration skills only with explicit targets, reasons, dry runs, and user confirmation gates.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The Convex, moderation, migration, and PR-maintainer instructions generally match their stated ClawHub maintenance purposes, including explicit dry-run, confirmation, and verification guidance for destructive or staff actions.
Instruction Scope
The autoreview skill defaults to running nested Codex review with --dangerously-bypass-approvals-and-sandbox and --sandbox danger-full-access, and can fall back to external reviewer CLIs using generated diffs without a separate user confirmation step.
Install Mechanism
The reviewed skill artifacts are markdown instructions plus one helper script and metadata YAML files; no install hooks, postinstall commands, or hidden setup behavior were found.
Credentials
Several workflows are intentionally privileged for ClawHub maintainers, including staff moderation, production migrations, GitHub PR operations, and broad local review access; most are purpose-aligned, but the default full-access nested review path is broader than needed for review.
Persistence & Privilege
No background persistence or daemon behavior was found in the skill bundle; some workflows intentionally create temporary migration code, local review output, or production state changes under explicit process guidance.
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 apidot-ai-api
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /apidot-ai-api 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
v1.0.2
- Updated description to better clarify primary use cases and supported APIs. - Added a homepage link to the metadata section. - No changes to API functionality or security practices. - Documentation consolidated for greater clarity and brevity.
v1.0.1
- Updated the description in SKILL.md for greater clarity and emphasis on supported APIs and workflows. - Now explicitly lists GPT Image 2 API, Seedance 2 API, Veo 3.1 API, Sora API, Kling API, and more in the description. - Improved language for when to use the skill and what integrations are supported. - No code or API changes; documentation only.
v1.0.0
apidot-ai-api 1.0.0 - Initial release of the skill for APIDot AI API integration. - Supports unified API access for image, video, chat, music, and 3D generation tasks. - Provides guidance on model selection, task submission, status polling, and webhooks. - Includes security recommendations for handling API keys and request best practices. - Links to official documentation, examples, and support resources for easy integration.
元数据
Slug apidot-ai-api
版本 1.0.2
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 3
常见问题

Apidot Ai Api 是什么?

Use APIDot as one AI API for image generation API, video generation API, chat API, music generation API, and 3D generation API workflows. Use when users ask... 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 Apidot Ai Api?

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

Apidot Ai Api 是免费的吗?

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

Apidot Ai Api 支持哪些平台?

Apidot Ai Api 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 Apidot Ai Api?

由 jiehao71727(@jiehao71727)开发并维护,当前版本 v1.0.2。

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