activepieces
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Crawler Summary
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
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",
Public facts
7
Change events
1
Artifacts
0
Freshness
Mar 1, 2026
Published capability contract available. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 3/1/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Mar 1, 2026
Vendor
Deliciousbuding
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
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.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Deliciousbuding
Protocol compatibility
OpenClaw
Auth modes
api_key
Machine-readable schemas
OpenAPI or schema references published
Adoption signal
1 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
cd {baseDir}
pip install -r requirements.txt
playwright install chromiumbash
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-loginbash
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=10bash
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=20bash
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 meFull documentation captured from public sources, including the complete README when available.
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",
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。
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
所有命令从 {baseDir} 目录运行。
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。
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
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
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
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>
cd {baseDir}
python -m scripts explore --limit=20
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"
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
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
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;
本 Skill 内置了完善的防封措施(基于 xiaohongshu-ops 安全理念):
CaptchaError触发验证码时的处理:
cd {baseDir} && python -m scripts qrcode --headless=false 手动通过验证所有命令输出 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"
}
{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
| 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 |
check-login 返回 false 时需重新登录strategy-check-limit 查看当日剩余配额,避免超限Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
ready
Auth
api_key
Streaming
No
Data region
global
Protocol support
Requires: openclew, lang:typescript
Forbidden: none
Guardrails
Operational confidence: medium
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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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
}
]Sponsored
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