Crawler Summary

xiaohongshu-skill answer-first brief

当用户想要与小红书(xiaohongshu/rednote)交互时使用此 Skill。包括搜索笔记、获取帖子详情、查看用户主页、二维码扫码登录、发布笔记(图文/视频/长文/Markdown)、评论互动(发表/回复/通知页回复)、点赞收藏、浏览推荐流、写作模板生成、运营策略管理、SOP 编排等。当用户提到 xiaohongshu、小红书、rednote,或需要浏览/抓取/发布/互动中国社交媒体内容时激活此 Skill。 --- name: xiaohongshu-skill description: 当用户想要与小红书(xiaohongshu/rednote)交互时使用此 Skill。包括搜索笔记、获取帖子详情、查看用户主页、二维码扫码登录、发布笔记(图文/视频/长文/Markdown)、评论互动(发表/回复/通知页回复)、点赞收藏、浏览推荐流、写作模板生成、运营策略管理、SOP 编排等。当用户提到 xiaohongshu、小红书、rednote,或需要浏览/抓取/发布/互动中国社交媒体内容时激活此 Skill。 user-invokable: true metadata: {"openclaw": {"emoji": "📕", "requires": {"bins": ["python3", "playwright"], "anyBins": ["python3", "python"]}, "os": ["win32", "linux", Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 3/1/2026.

Freshness

Last checked 3/1/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

xiaohongshu-skill is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 89/100

xiaohongshu-skill

当用户想要与小红书(xiaohongshu/rednote)交互时使用此 Skill。包括搜索笔记、获取帖子详情、查看用户主页、二维码扫码登录、发布笔记(图文/视频/长文/Markdown)、评论互动(发表/回复/通知页回复)、点赞收藏、浏览推荐流、写作模板生成、运营策略管理、SOP 编排等。当用户提到 xiaohongshu、小红书、rednote,或需要浏览/抓取/发布/互动中国社交媒体内容时激活此 Skill。 --- name: xiaohongshu-skill description: 当用户想要与小红书(xiaohongshu/rednote)交互时使用此 Skill。包括搜索笔记、获取帖子详情、查看用户主页、二维码扫码登录、发布笔记(图文/视频/长文/Markdown)、评论互动(发表/回复/通知页回复)、点赞收藏、浏览推荐流、写作模板生成、运营策略管理、SOP 编排等。当用户提到 xiaohongshu、小红书、rednote,或需要浏览/抓取/发布/互动中国社交媒体内容时激活此 Skill。 user-invokable: true metadata: {"openclaw": {"emoji": "📕", "requires": {"bins": ["python3", "playwright"], "anyBins": ["python3", "python"]}, "os": ["win32", "linux",

OpenClawself-declared

Public facts

7

Change events

1

Artifacts

0

Freshness

Mar 1, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 3/1/2026.

1 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Mar 1, 2026

Vendor

Deliciousbuding

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 3/1/2026.

Setup snapshot

git clone https://github.com/DeliciousBuding/xiaohongshu-skill.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Deliciousbuding

profilemedium
Observed Mar 1, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed Mar 1, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

cd {baseDir}
pip install -r requirements.txt
playwright install chromium

bash

playwright install-deps chromium

bash

cd {baseDir}

# 打开浏览器窗口,显示二维码供微信/小红书扫描
python -m scripts qrcode --headless=false

# 检查登录是否仍然有效
python -m scripts check-login

bash

cd {baseDir}

# 基础搜索
python -m scripts search "关键词"

# 带筛选条件
python -m scripts search "美食" --sort-by=最新 --note-type=图文 --limit=10

bash

cd {baseDir}

# 使用搜索结果中的 id 和 xsec_token
python -m scripts feed <feed_id> <xsec_token>

# 加载评论
python -m scripts feed <feed_id> <xsec_token> --load-comments --max-comments=20

bash

cd {baseDir}

# 查看指定用户主页
python -m scripts user <user_id> [xsec_token]

# 查看自己的主页
python -m scripts me

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

当用户想要与小红书(xiaohongshu/rednote)交互时使用此 Skill。包括搜索笔记、获取帖子详情、查看用户主页、二维码扫码登录、发布笔记(图文/视频/长文/Markdown)、评论互动(发表/回复/通知页回复)、点赞收藏、浏览推荐流、写作模板生成、运营策略管理、SOP 编排等。当用户提到 xiaohongshu、小红书、rednote,或需要浏览/抓取/发布/互动中国社交媒体内容时激活此 Skill。 --- name: xiaohongshu-skill description: 当用户想要与小红书(xiaohongshu/rednote)交互时使用此 Skill。包括搜索笔记、获取帖子详情、查看用户主页、二维码扫码登录、发布笔记(图文/视频/长文/Markdown)、评论互动(发表/回复/通知页回复)、点赞收藏、浏览推荐流、写作模板生成、运营策略管理、SOP 编排等。当用户提到 xiaohongshu、小红书、rednote,或需要浏览/抓取/发布/互动中国社交媒体内容时激活此 Skill。 user-invokable: true metadata: {"openclaw": {"emoji": "📕", "requires": {"bins": ["python3", "playwright"], "anyBins": ["python3", "python"]}, "os": ["win32", "linux",

Full README

name: xiaohongshu-skill description: 当用户想要与小红书(xiaohongshu/rednote)交互时使用此 Skill。包括搜索笔记、获取帖子详情、查看用户主页、二维码扫码登录、发布笔记(图文/视频/长文/Markdown)、评论互动(发表/回复/通知页回复)、点赞收藏、浏览推荐流、写作模板生成、运营策略管理、SOP 编排等。当用户提到 xiaohongshu、小红书、rednote,或需要浏览/抓取/发布/互动中国社交媒体内容时激活此 Skill。 user-invokable: true metadata: {"openclaw": {"emoji": "📕", "requires": {"bins": ["python3", "playwright"], "anyBins": ["python3", "python"]}, "os": ["win32", "linux", "darwin"], "install": [{"id": "pip", "kind": "node", "label": "Install dependencies (pip)", "bins": ["playwright"]}]}}

小红书 Skill

基于 Python Playwright 的小红书(rednote)全功能交互工具,通过浏览器自动化从 window.__INITIAL_STATE__(Vue SSR 状态)中提取结构化数据,并支持发布、互动、运营管理等操作。

前置条件

在 {baseDir} 目录下安装依赖:

cd {baseDir}
pip install -r requirements.txt
playwright install chromium

Linux/WSL 环境还需运行:

playwright install-deps chromium

快速开始

所有命令从 {baseDir} 目录运行。

1. 登录(首次必须)

cd {baseDir}

# 打开浏览器窗口,显示二维码供微信/小红书扫描
python -m scripts qrcode --headless=false

# 检查登录是否仍然有效
python -m scripts check-login

在无头环境下,二维码图片保存到 {baseDir}/data/qrcode.png,可通过其他渠道发送扫码。

2. 搜索

cd {baseDir}

# 基础搜索
python -m scripts search "关键词"

# 带筛选条件
python -m scripts search "美食" --sort-by=最新 --note-type=图文 --limit=10

筛选选项:

  • --sort-by:综合、最新、最多点赞、最多评论、最多收藏
  • --note-type:不限、视频、图文
  • --publish-time:不限、一天内、一周内、半年内
  • --search-scope:不限、已看过、未看过、已关注
  • --location:不限、同城、附近

3. 帖子详情

cd {baseDir}

# 使用搜索结果中的 id 和 xsec_token
python -m scripts feed <feed_id> <xsec_token>

# 加载评论
python -m scripts feed <feed_id> <xsec_token> --load-comments --max-comments=20

4. 用户主页

cd {baseDir}

# 查看指定用户主页
python -m scripts user <user_id> [xsec_token]

# 查看自己的主页
python -m scripts me

5. 评论互动

cd {baseDir}

# 发表评论
python -m scripts comment <feed_id> <xsec_token> --content="好棒的笔记!"

# 回复评论
python -m scripts reply <feed_id> <xsec_token> --comment-id=<comment_id> --reply-user-id=<user_id> --content="感谢分享"

# 通过通知页回复(更安全的回复方式)
python -m scripts reply-notification --content="谢谢关注" --index=0

6. 点赞 / 收藏

cd {baseDir}

# 点赞 / 取消点赞
python -m scripts like <feed_id> <xsec_token>
python -m scripts unlike <feed_id> <xsec_token>

# 收藏 / 取消收藏
python -m scripts collect <feed_id> <xsec_token>
python -m scripts uncollect <feed_id> <xsec_token>

7. 首页推荐流

cd {baseDir}
python -m scripts explore --limit=20

8. 发布笔记

cd {baseDir}

# 发布图文笔记(默认停在发布按钮处,加 --auto-publish 自动发布)
python -m scripts publish --title="标题" --content="正文" --images="img1.jpg,img2.jpg" --tags="旅行,美食"

# 发布视频笔记
python -m scripts publish-video --title="标题" --content="描述" --video="video.mp4" --tags="vlog"

# Markdown 渲染为图片后发布
python -m scripts publish-md --title="标题" --file=article.md --tags="干货"
python -m scripts publish-md --title="标题" --text="# 正文\n内容..." --width=1080

# 发布长文笔记(创作者中心"写长文"功能)
python -m scripts publish-longform --title="长文标题" --content="长文正文内容..."

# 定时发布
python -m scripts publish --title="标题" --content="正文" --images="img.jpg" --schedule-time="2025-03-01 12:00"

9. 写作模板

cd {baseDir}

# 生成写作模板(含标题建议、内容框架、标签推荐)
python -m scripts template --topic="旅行攻略"
python -m scripts template --topic="美食探店" --type=视频
python -m scripts template --topic="学习方法" --type=长文

10. 运营策略

cd {baseDir}

# 初始化账号定位
python -m scripts strategy-init --persona="旅行博主" --audience="18-35岁旅行爱好者" --direction="旅行攻略,小众目的地"

# 查看当前策略
python -m scripts strategy-show

# 检查每日互动配额
python -m scripts strategy-check-limit --limit-type=likes
python -m scripts strategy-check-limit --limit-type=comments

# 添加内容日历
python -m scripts strategy-add-post --date="2025-03-01" --topic="春日出行攻略" --type=图文

11. SOP 编排

cd {baseDir}

# 发布 SOP(选题分析 → 内容校验 → 模板生成 → 发布准备)
python -m scripts sop --type=publish --topic="旅行攻略" --note-type=图文

# 推荐流互动 SOP(模拟自然浏览行为)
python -m scripts sop --type=explore --feed-count=10 --like-prob=0.3 --collect-prob=0.1

# 评论互动 SOP(逐条回复,配额控制)
python -m scripts sop --type=comment --replies='[{"feed_id":"abc","xsec_token":"xyz","content":"好棒"}]'

数据提取路径

| 数据类型 | JavaScript 路径 | |----------|----------------| | 搜索结果 | window.__INITIAL_STATE__.search.feeds | | 帖子详情 | window.__INITIAL_STATE__.note.noteDetailMap | | 互动状态 | window.__INITIAL_STATE__.note.noteDetailMap[id].note.interactInfo | | 用户信息 | window.__INITIAL_STATE__.user.userPageData | | 用户笔记 | window.__INITIAL_STATE__.user.notes | | 推荐流 | window.__INITIAL_STATE__.feed.feeds |

Vue Ref 处理: 始终通过 .value 或 ._value 解包:

const data = obj.value !== undefined ? obj.value : obj._value;

反爬保护与防封体系

本 Skill 内置了完善的防封措施(基于 xiaohongshu-ops 安全理念):

  • 频率控制:两次导航间自动延迟 3-6 秒,每 5 次连续请求后冷却 10 秒
  • 人性化互动:点击前随机延迟 1-2.5s,点击后冷却 5-12s,每 3 次交互批次冷却 15-30s
  • 人性化发布:标题填写延迟 0.5-1.5s,正文逐字输入延迟 20-60ms/字,步骤间随机等待
  • 频率限制检测:自动检测 toast 提示("频繁"、"操作太快"、"稍后再试")
  • 失败重试:评论提交失败后自动重试一次(间隔 2-4s)
  • 验证码检测:自动检测安全验证页面重定向,触发时抛出 CaptchaError
  • 每日配额管理:策略模块追踪每日互动次数,防止超限

触发验证码时的处理:

  1. 等待几分钟后重试
  2. 运行 cd {baseDir} && python -m scripts qrcode --headless=false 手动通过验证
  3. 如 Cookie 失效,重新扫码登录

输出格式

所有命令输出 JSON 到标准输出。搜索结果示例:

{
  "id": "abc123",
  "xsec_token": "ABxyz...",
  "title": "帖子标题",
  "type": "normal",
  "user": "用户名",
  "user_id": "user123",
  "liked_count": "1234",
  "collected_count": "567",
  "comment_count": "89"
}

文件结构

{baseDir}/
├── SKILL.md              # 本文件(Skill 规范)
├── README.md             # 项目文档
├── requirements.txt      # Python 依赖
├── LICENSE               # MIT 许可证
├── data/                 # 运行时数据(二维码、调试输出)
├── scripts/              # 核心模块
│   ├── __init__.py       # 模块导出(v1.2.0)
│   ├── __main__.py       # CLI 入口(22+ 子命令)
│   ├── client.py         # 浏览器客户端封装(频率控制 + 验证码检测)
│   ├── login.py          # 二维码扫码登录流程
│   ├── search.py         # 搜索(支持多种筛选)
│   ├── feed.py           # 帖子详情提取
│   ├── user.py           # 用户主页提取
│   ├── comment.py        # 评论互动(发表/回复/通知页回复 + 人性化延迟 + 重试)
│   ├── interact.py       # 点赞收藏(人性化延迟 + 频率检测 + 批次冷却)
│   ├── explore.py        # 首页推荐流提取
│   ├── publish.py        # 发布(图文/视频/Markdown/长文 + 人性化延迟)
│   ├── templates.py      # 写作模板引擎(标题生成/内容模板/标签推荐/校验)
│   ├── strategy.py       # 运营策略管理(配额追踪/内容日历/账号定位)
│   └── sop.py            # SOP 编排引擎(发布/评论/推荐流互动 SOP)
└── tests/                # 单元测试
    ├── test_client.py
    ├── test_login.py
    ├── test_search.py
    ├── test_feed.py
    ├── test_user.py
    ├── test_comment.py
    ├── test_interact.py
    ├── test_publish.py
    ├── test_templates.py
    ├── test_strategy.py
    └── test_sop.py

跨平台兼容性

| 环境 | 无头模式 | 有头模式(扫码登录) | 备注 | |------|----------|----------------------|------| | Windows | 支持 | 支持 | 主要开发环境 | | WSL2 (Win11) | 支持 | 通过 WSLg 支持 | 需要 playwright install-deps | | Linux 服务器 | 支持 | 不适用 | 二维码保存为图片文件 |

注意事项

  1. Cookie 过期:Cookie 会定期过期,check-login 返回 false 时需重新登录
  2. 频率限制:过度抓取会触发验证码,请依赖内置的频率控制
  3. xsec_token:Token 与会话绑定,始终使用搜索/用户结果中的最新 Token
  4. 配额管理:使用 strategy-check-limit 查看当日剩余配额,避免超限
  5. 仅供学习:请遵守小红书的使用条款,本工具仅用于学习研究

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Contract coverage

Status

ready

Auth

api_key

Streaming

No

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/contract"
curl -s "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

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Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/DeliciousBuding/xiaohongshu-skill#input",
  "outputSchemaRef": "https://github.com/DeliciousBuding/xiaohongshu-skill#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:41:36.332Z",
  "sourceUpdatedAt": "2026-02-24T19:41:36.332Z",
  "freshnessSeconds": 19550680
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T02:26:16.365Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Deliciousbuding",
    "href": "https://github.com/DeliciousBuding/xiaohongshu-skill",
    "sourceUrl": "https://github.com/DeliciousBuding/xiaohongshu-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-03-01T06:02:04.424Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "href": "https://github.com/DeliciousBuding/xiaohongshu-skill",
    "sourceUrl": "https://github.com/DeliciousBuding/xiaohongshu-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-03-01T06:02:04.424Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:41:36.332Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:41:36.332Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/DeliciousBuding/xiaohongshu-skill#input",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:41:36.332Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/deliciousbuding-xiaohongshu-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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