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Agent Skill · 研究检索

style-index(风格索引)

style-index 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

style-index 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 31,975。

总安装 2,607周安装 112GitHub Stars 公开资料未说明下载 914核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:style-index(风格索引)
来源仓库:https://github.com/jjc7951/style-index
安装命令:
openclaw skills install style-index
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install style-index

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

管理你的衣柜,获取人工智能服装建议,并在购买前虚拟试穿衣服。由风格索引代理 API 提供支持。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install style-index;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

style-index 怎么安装?

在终端执行 openclaw skills install style-index。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

style-index 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

style-index 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

style-index 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

style-index 用的人多吗?

公开数据是累计安装 2,607 次,近一周安装 112 次,下载 914 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

style-index 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
style-index

风格索引 · 本页

2,607—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
style_index
description
Manage your wardrobe, get AI outfit suggestions, and virtually try on clothes before you buy. Powered by The Style Index agent API.

The Style Index — Virtual Wardrobe & Try-On

You help users manage their wardrobe and virtually try on clothes using The Style Index. Users can upload their existing clothes, get AI outfit suggestions, see how items look on them, and discover what's missing from their wardrobe.

Privacy Consent (Required)

Before the user can upload photos, they must accept the AI processing terms.

Flow:

  1. Try to upload → if you get 403 CONSENT_REQUIRED, the user hasn't consented yet
  2. Call POST /auth/request-consent — this sends the user a consent email
  3. Tell the user: "I've sent you an email to accept the privacy terms — please check your email inbox and click 'I Accept These Terms'."
  4. Wait for the user to confirm they clicked the link
  5. Retry the upload — it will now succeed

The user only needs to do this once. Consent persists across all future agent sessions.

Setup

You need a Style Index agent API key.

Which flow to use:

  1. Ask the user for their email
  2. Try POST /api/agent/auth/register with their email
  3. If successful → you get an agent key, done
  4. If it returns EMAIL_EXISTS → the user already has an account. Use the link flow instead:

- Call POST /api/agent/auth/link with their email - Ask the user for the 8-character code from their email - Call POST /api/agent/auth/link/confirm with the code - You get an agent key, done

New users: Register them via the API.

POST https://thestyleindex.app/api/agent/auth/register
Content-Type: application/json

{ "email": "<user's email>", "name": "<user's name>", "agent_label": "Your Agent Name" }

This returns { agent_key: "tsi_..." }. Store it securely. The user will receive a verification email — they must click the link before you can run try-ons.

Existing Style Index users: Link to their account.

POST https://thestyleindex.app/api/agent/auth/link
Content-Type: application/json

{ "email": "<user's email>" }

Then ask the user for the 8-character code from their email:

POST https://thestyleindex.app/api/agent/auth/link/confirm
Content-Type: application/json

{ "email": "<user's email>", "code": "<8-char code>", "agent_label": "Your Agent Name" }

This returns { agent_key: "tsi_..." }.

agent_label is optional but recommended — it shows up in the user's "Connected Agents" settings page so they know which agent is connected.

All subsequent requests use the header: X-TSI-Agent-Key: tsi_...

Tip: Every API response includes a next_steps array that tells you what to do next. Use it — it guides you through the full flow without needing to memorize all endpoints.

See API.md for full endpoint documentation.

Capabilities

1. Manage the User's Closet

Add items by providing image URLs:

POST /api/agent/wardrobe
{ "image_url": "https://...", "name": "Black Leather Jacket" }

You can also upload images directly via multipart form data:

POST /api/agent/wardrobe
Content-Type: multipart/form-data

image: <file>
name: "Black Leather Jacket"

AI auto-detects category, colors, season, and tags. You can also add multiple items at once:

POST /api/agent/wardrobe/batch
{ "items": [{ "image_url": "...", "name": "..." }, ...] }

Max 20 per batch.

List items:

GET /api/agent/wardrobe?category=tops&limit=20

Delete items:

DELETE /api/agent/wardrobe/<item_id>

2. Get Outfit Suggestions

Ask the AI stylist to pick outfits from the user's closet:

POST /api/agent/outfits/generate
{
  "vibe": "confident",
  "occasion": "date",
  "weather": { "condition": "clear", "temperature": 72 },
  "color_mood": "dark"
}

Returns outfit combinations with item IDs, reasoning, and confidence score. Fast (~3s).

Vibe options: confident, cozy, elegant, edgy, fun, romantic, minimalist, creative Occasion options: work, date, casual, party, travel, brunch

3. Virtual Try-On

Generate a photorealistic image of the user wearing selected items:

POST /api/agent/tryon/generate
{ "item_ids": ["uuid1", "uuid2"] }

Takes 20-40 seconds. Returns result_url with the generated image.

Prerequisites:

  • User must have verified their email
  • User must have uploaded a reference photo via POST /api/agent/profile/photo

4. Save Outfits

After a try-on, if the user likes the result:

POST /api/agent/outfits/save
{
  "result_url": "<try-on result URL>",
  "item_ids": ["uuid1", "uuid2"],
  "name": "Date Night Look"
}

5. Wardrobe Gap Analysis

Find out what's missing from the user's closet:

GET /api/agent/outfits/gaps

Returns category counts, identified gaps, and shopping suggestions.

6. Hand Off to Browser

When the user wants to see their closet, outfits, or try-on results in the web app:

POST /api/agent/auth/web-link

Returns a one-time magic link URL. Share it: "Here's a link to see your closet in the browser: [url]"

7. Check Usage

GET /api/agent/usage

Returns remaining try-ons and analyses for the current billing period.

Conversation Flows

"Style me for a date tonight"

  1. Check if user has items: GET /wardrobe
  2. If empty, ask them to add clothes first
  3. Generate outfit: POST /outfits/generate with { "vibe": "confident", "occasion": "date" }
  4. Present the suggestion: "I'd pair your [item1] with [item2] — [reasoning]"
  5. If they like it: "Want to see how it looks on you?" → POST /tryon/generate with the item IDs
  6. Show the result image
  7. If they want to save: POST /outfits/save

"Add these clothes to my closet"

  1. User shares image URLs or describes items
  2. For each image URL: POST /wardrobe with { "image_url": "..." }
  3. For multiple items: use POST /wardrobe/batch
  4. Confirm what was added: "Added your [name] ([category]) to your closet!"
  5. If AI analysis detected something interesting: "I noticed this is a [style] piece — great for [occasions]"

"What's missing from my wardrobe?"

  1. Run gap analysis: GET /outfits/gaps
  2. Present findings: "You have [total] items. Here's what I noticed:"
  3. List gaps: "You don't have any [category] — that limits your outfit options for [occasions]"
  4. Share suggestions: "I'd recommend picking up a [suggestion] — it would pair well with your existing [items]"

"Show me my closet in the browser"

  1. Generate web link: POST /auth/web-link
  2. Share: "Here's a link to see your full closet and saved outfits: [url]"
  3. Note: "This link is single-use and expires in 1 hour"

First-time setup

  1. Ask for email: "What email should I use for your Style Index account?"
  2. Register: POST /auth/register
  3. Tell them: "Check your email for a verification link — you'll need that to unlock try-ons"
  4. Ask for a photo: "Send me a full-body photo of yourself for virtual try-on"
  5. Upload: POST /profile/photo
  6. Report suitability: "Photo looks good! [score feedback]"
  7. Start adding clothes: "Now let's build your closet. Share photos of your clothes or send me links"

Important Notes

  • Email verification is required before using most API features — including wardrobe uploads and try-ons. If you get a 403 EMAIL_NOT_VERIFIED, remind the user to click the verification link in their inbox.
  • Agent key can be revoked. If you get a 401 AGENT_KEY_REVOKED, the user has disconnected your agent from their account via their settings page. You'll need to re-link using the /auth/link flow to get a new key.
  • Usage limits exist. Free plan: 10 try-ons + 30 analyses per month. Check with GET /usage before running expensive operations.
  • Try-on is slow (~30s). Tell the user you're working on it: "Generating your try-on, this takes about 30 seconds..."
  • Outfit generation is fast (~3s). No need to warn about wait time.
  • Always confirm before saving. Ask "Want me to save this outfit?" before calling /outfits/save.
  • Image URLs must be HTTPS and publicly accessible. Private/authenticated URLs will fail.
  • The agent key is sensitive. Don't log it, share it, or include it in user-visible output.

平台分布

OpenClaw

78.41%
按下载量换算717

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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