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在 OpenClaw 中安装
/install aicloset
功能描述
AI智能衣橱 — 衣橱管理、AI搭配推荐、知识库搜索、虚拟试衣
使用说明 (SKILL.md)
AI Closet（爱搭衣橱）
AI 驱动的智能衣橱管理平台。管理衣橱和单品、获取 AI 搭配推荐、搜索服饰知识库、体验虚拟试衣。
鉴权
所有接口需要 API Key，支持两种方式传递：
| 方式 | 示例 |
|---|---|
| HTTP Header | x-api-key: YOUR_API_KEY |
| Query 参数 | ?api_key=YOUR_API_KEY |
API Key 通过环境变量 AICLOSET_API_KEY 获取。
API Key 已绑定特定用户身份，所有接口自动使用绑定用户的数据，无需传 user_id。
Base URL
https://aicloset-dev.wxbjq.top
可通过环境变量 AICLOSET_API_URL 覆盖。
通用响应格式
所有接口统一返回 JSON：
{"code": 0, "msg": "ok", "data": {...}}
code = 0表示成功code != 0表示错误，msg包含错误描述
常见错误码：
| 错误码 | 含义 |
|---|---|
| 40000 | 参数校验失败 |
| 40008 | 系统错误 |
| 43100 | 鉴权失败 / API Key 无效 |
| 43600 | 衣橱错误（如名称重复） |
能力概要
所有接口均为 POST 方法。大部分接口使用 application/x-www-form-urlencoded 或 application/json，product/add 支持 multipart/form-data 文件上传。
| 接口 | 路径 | 说明 |
|---|---|---|
| 衣橱列表 | /skill/wardrobe/list |
查询用户衣橱列表，支持分页 |
| 创建衣橱 | /skill/wardrobe/create |
创建新衣橱 |
| 录入单品 | /skill/product/add |
上传服饰图片，AI 自动识别分类 |
| 编辑单品 | /skill/product/edit |
修改单品名称 |
| 搭配列表 | /skill/outfit/list |
查询用户搭配列表，支持分页 |
| 推荐搭配 | /skill/outfit/recommend |
按使用频率推荐搭配方案 |
| OOTD 记录照片 | /skill/ootd/record-photo |
记录每日穿搭照片 |
| OOTD 记录搭配 | /skill/ootd/record-outfit |
记录每日穿搭搭配方案 |
| AI 搭配推荐 | /skill/ai/outfit-recommend |
根据场景、风格、天气智能推荐搭配 |
| 知识库搜索 | /skill/ai/kb-search |
搜索服饰知识库，支持品类和风格过滤 |
| 虚拟试衣 | /skill/ai/virtual-tryon |
将服饰图片合成到模特身上 |
使用场景
衣橱管理：创建衣橱 → 上传服饰图片录入单品 → 查看和编辑单品信息
搭配推荐：查询已有搭配 → 获取使用频率推荐 → 使用 AI 根据场景生成新搭配
每日穿搭：选择搭配或拍照 → 记录 OOTD → 关联日期和天气信息
AI 能力：搜索知识库找灵感 → AI 推荐搭配方案 → 虚拟试衣预览效果
详细 API 文档
安全使用建议
This skill appears to do what it says (wardrobe management and AI outfit features) but exercise caution before installing:
- The service host is an unfamiliar dev-style domain (aicloset-dev.wxbjq.top) and the skill has no listed homepage or trusted publisher — verify the provider and hosting before using.
- The skill will send wardrobe data and photos to that external server. Avoid uploading any sensitive or identifying photos unless you trust the service and its privacy policy.
- The SKILL.md mentions an override env var AICLOSET_API_URL that is not declared by the skill metadata; if you set that, requests will go to whatever URL you supply — ensure it points to a trusted endpoint.
- Treat AICLOSET_API_KEY as a service-specific key. Do not reuse high-privilege keys (AWS, GitHub tokens, etc.) as this API key.
- If you need higher assurance, ask the publisher for a homepage, privacy policy, and clarification about the API host and key scoping, or run the skill in an isolated/sandboxed environment.
功能分析
Type: OpenClaw Skill
Name: aicloset
Version: 1.1.0
The 'aicloset' skill is a standard API wrapper for an AI-driven wardrobe management service. It facilitates wardrobe organization, outfit recommendations, and virtual try-on features by providing clear instructions for an AI agent to interact with a specific backend (aicloset-dev.wxbjq.top) using curl. The skill requires only the necessary API key environment variable and lacks any indicators of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
Name, description, and the listed APIs (wardrobe, product, outfit, AI features) align with the required pieces (curl binary and an API key). The declared primary credential (AICLOSET_API_KEY) is consistent with the API usage shown in examples.
Instruction Scope
SKILL.md instructs the agent to call only the aicloset service endpoints (POSTs to https://aicloset-dev.wxbjq.top) using the API key. However it also documents an environment variable override AICLOSET_API_URL that is not declared in requires.env — an instruction-accesses-env mismatch. The APIs accept image uploads and image URLs: using image_url causes the remote service to fetch arbitrary URLs, and uploading/recording OOTD photos will transmit user images to the external host (privacy/exfiltration risk).
Install Mechanism
Instruction-only skill with no install spec or downloadable code; risk from installation mechanism is low. It requires curl to be present which matches the curl-based examples.
Credentials
Only one credential is required (AICLOSET_API_KEY), which is proportional to the described API usage. Minor inconsistency: SKILL.md mentions an optional AICLOSET_API_URL env override but that variable is not declared in the skill metadata. No unrelated credentials or high-privilege secrets are requested.
Persistence & Privilege
Skill is not marked always:true and does not request modifications to other skills or system-wide settings. It can be invoked autonomously (platform default), which increases blast radius but is not unusual by itself.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install aicloset - 安装完成后，直接呼叫该 Skill 的名称或使用
/aicloset触发 - 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
aicloset 1.1.0
- API Key 现已自动绑定用户身份，无需传递 user_id，所有接口基于绑定用户数据操作。
- 明确说明 `product/add` 接口支持 `multipart/form-data` 文件上传，其他接口支持常规表单/JSON 格式。
- 优化文档细节，提升接口使用清晰度。
v1.0.2
Version 1.0.2
- No file changes or user-facing updates in this release.
- Functionality, documentation, and metadata remain unchanged from the previous version.
v1.0.1
No changes detected for version 1.0.1.
- No new features or fixes introduced.
- All documentation and code remain unchanged from version 1.0.0.
v1.0.0
Version 1.0.0 of aicloset released.
- Introduced an AI-driven platform for wardrobe management, outfit recommendations, knowledge base search, and virtual try-on.
- Supports wardrobe creation, single item entry (with AI recognition), editing, and viewing.
- Offers daily outfit (OOTD) recording features with photo and outfit logging.
- Provides AI-powered outfit recommendations based on scenario, style, and weather.
- Includes searchable fashion knowledge base and virtual try-on capabilities.
- API requires authentication via API key, supports JSON responses, and unified error codes.
元数据
常见问题
Aicloset Skill 是什么？
AI智能衣橱 — 衣橱管理、AI搭配推荐、知识库搜索、虚拟试衣. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 122 次。
如何安装 Aicloset Skill？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install aicloset」即可一键安装，无需额外配置。
Aicloset Skill 是免费的吗？
是的，Aicloset Skill 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Aicloset Skill 支持哪些平台？
Aicloset Skill 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 Aicloset Skill？
由 houdamiao（@houdamiao）开发并维护，当前版本 v1.1.0。
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