Xpersona

Crawler Summary

weread-export answer-first brief

自动导出微信读书笔记，支持 Markdown/JSON 格式，可同步到 Obsidian --- name: weread-export description: 自动导出微信读书笔记，支持 Markdown/JSON 格式，可同步到 Obsidian homepage: https://github.com/zhongyi-byte/openclaw-weread-skill metadata: {"openclaw":{"emoji":"📚","requires":{"bins":["python3"]},"install":[{"id":"pip","kind":"pip","packages":["requests","beautifulsoup4"],"label":"安装 Python 依赖"}]}} --- 微信读书笔记导出 Skill 自动导出微信读书中的标注、想法、书评，支持多种格式输出和自动化同步。 功能特性 - 📖 **批量导出** - 一键导出所有书籍笔记 - 📝 **多格式支持** - Capability contract not published. No trust telemetry is available yet. 7 GitHub stars reported by the source. Last updated 4/14/2026.

Freshness

Last checked 4/14/2026

Best For

weread-export is best for general automation workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Agent DossierGitHubSafety: 94/100

weread-export

自动导出微信读书笔记，支持 Markdown/JSON 格式，可同步到 Obsidian --- name: weread-export description: 自动导出微信读书笔记，支持 Markdown/JSON 格式，可同步到 Obsidian homepage: https://github.com/zhongyi-byte/openclaw-weread-skill metadata: {"openclaw":{"emoji":"📚","requires":{"bins":["python3"]},"install":[{"id":"pip","kind":"pip","packages":["requests","beautifulsoup4"],"label":"安装 Python 依赖"}]}} --- 微信读书笔记导出 Skill 自动导出微信读书中的标注、想法、书评，支持多种格式输出和自动化同步。 功能特性 - 📖 **批量导出** - 一键导出所有书籍笔记 - 📝 **多格式支持** -

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Apr 14, 2026

Verifiededitorial-contentNo verified compatibility signals7 GitHub stars

Capability contract not published. No trust telemetry is available yet. 7 GitHub stars reported by the source. Last updated 4/14/2026.

7 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 14, 2026

Vendor

Zhongyi Byte

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Unpublished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

Capability contract not published. No trust telemetry is available yet. 7 GitHub stars reported by the source. Last updated 4/14/2026.

View Source

Setup snapshot

git clone https://github.com/zhongyi-byte/openclaw-weread-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

Zhongyi Byte

profilemedium
Observed Apr 14, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 14, 2026Source linkProvenance
Adoption (1)

Adoption signal

7 GitHub stars

profilemedium
Observed Apr 14, 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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

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

pip install requests beautifulsoup4

json

{
  "vid": "你的_wr_vid",
  "skey": "你的_wr_skey",
  "output_format": "markdown",
  "output_dir": "/root/workspace/weread-notes",
  "sync_to_obsidian": true,
  "obsidian_dir": "/root/workspace/obsidian-sync/03_项目/微信读书笔记",
  "telegram_notify": true,
  "export_highlights": true,
  "export_thoughts": true,
  "export_reviews": true
}

bash

# 导出所有笔记
python scripts/weread_export.py --all

# 导出本周新增
python scripts/weread_export.py --this-week

# 导出特定书籍
python scripts/weread_export.py --book "书名"

# 同步到 Obsidian
python scripts/weread_export.py --sync

# 查看阅读统计
python scripts/weread_export.py --stats

text

导出微信读书笔记
→ 执行批量导出并同步

导出本周微信读书笔记
→ 导出最近7天新增的笔记

查看微信读书统计
→ 显示阅读数据报告

markdown

# 《书名》
**作者**: 作者名  
**阅读时间**: 2026-01-01 ~ 2026-02-01  
**阅读进度**: 100%

---

## 💡 标注

> 这是标注的内容
> 
> 📍 第 12 页 | 💭 想法：我的思考

## 📝 书评

我的书评内容...

## 📊 统计

- 总标注: 42 条
- 总想法: 15 条
- 阅读时长: 5小时 30分钟

json

{
  "book_id": "book_123",
  "title": "书名",
  "author": "作者",
  "highlights": [
    {
      "chapter": "第一章",
      "content": "标注内容",
      "page": 12,
      "thought": "我的想法",
      "create_time": "2026-01-15T10:30:00"
    }
  ]
}

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

自动导出微信读书笔记，支持 Markdown/JSON 格式，可同步到 Obsidian --- name: weread-export description: 自动导出微信读书笔记，支持 Markdown/JSON 格式，可同步到 Obsidian homepage: https://github.com/zhongyi-byte/openclaw-weread-skill metadata: {"openclaw":{"emoji":"📚","requires":{"bins":["python3"]},"install":[{"id":"pip","kind":"pip","packages":["requests","beautifulsoup4"],"label":"安装 Python 依赖"}]}} --- 微信读书笔记导出 Skill 自动导出微信读书中的标注、想法、书评，支持多种格式输出和自动化同步。 功能特性 - 📖 **批量导出** - 一键导出所有书籍笔记 - 📝 **多格式支持** -

Full README

name: weread-export description: 自动导出微信读书笔记，支持 Markdown/JSON 格式，可同步到 Obsidian homepage: https://github.com/zhongyi-byte/openclaw-weread-skill metadata: {"openclaw":{"emoji":"📚","requires":{"bins":["python3"]},"install":[{"id":"pip","kind":"pip","packages":["requests","beautifulsoup4"],"label":"安装 Python 依赖"}]}}

微信读书笔记导出 Skill

自动导出微信读书中的标注、想法、书评，支持多种格式输出和自动化同步。

功能特性

  • 📖 批量导出 - 一键导出所有书籍笔记
  • 📝 多格式支持 - Markdown / JSON / CSV
  • 🔄 自动同步 - 定时同步到 Obsidian
  • 📊 阅读统计 - 生成阅读数据报告
  • 🔔 完成通知 - Telegram 导出完成提醒
  • ⏰ 定时任务 - 支持 Cron 定时自动导出

安装依赖

pip install requests beautifulsoup4

配置说明

1. 获取微信读书 Cookie

  1. 浏览器登录 https://weread.qq.com
  2. 按 F12 打开开发者工具
  3. 选择 Application → Cookies
  4. 复制以下值：
    • wr_vid (用户 ID)
    • wr_skey (会话密钥)

2. 配置文件

编辑 config/weread.json：

{
  "vid": "你的_wr_vid",
  "skey": "你的_wr_skey",
  "output_format": "markdown",
  "output_dir": "/root/workspace/weread-notes",
  "sync_to_obsidian": true,
  "obsidian_dir": "/root/workspace/obsidian-sync/03_项目/微信读书笔记",
  "telegram_notify": true,
  "export_highlights": true,
  "export_thoughts": true,
  "export_reviews": true
}

使用方法

命令行

# 导出所有笔记
python scripts/weread_export.py --all

# 导出本周新增
python scripts/weread_export.py --this-week

# 导出特定书籍
python scripts/weread_export.py --book "书名"

# 同步到 Obsidian
python scripts/weread_export.py --sync

# 查看阅读统计
python scripts/weread_export.py --stats

OpenClaw 集成

在对话中使用：

导出微信读书笔记
→ 执行批量导出并同步

导出本周微信读书笔记
→ 导出最近7天新增的笔记

查看微信读书统计
→ 显示阅读数据报告

输出格式

Markdown 格式

# 《书名》
**作者**: 作者名  
**阅读时间**: 2026-01-01 ~ 2026-02-01  
**阅读进度**: 100%

---

## 💡 标注

> 这是标注的内容
> 
> 📍 第 12 页 | 💭 想法：我的思考

## 📝 书评

我的书评内容...

## 📊 统计

- 总标注: 42 条
- 总想法: 15 条
- 阅读时长: 5小时 30分钟

JSON 格式

{
  "book_id": "book_123",
  "title": "书名",
  "author": "作者",
  "highlights": [
    {
      "chapter": "第一章",
      "content": "标注内容",
      "page": 12,
      "thought": "我的想法",
      "create_time": "2026-01-15T10:30:00"
    }
  ]
}

定时任务

Cron 配置示例

{
  "schedule": {
    "kind": "cron",
    "expr": "0 9 * * 0",
    "tz": "Asia/Shanghai"
  },
  "task": "weread-export --this-week --notify"
}

每周日凌晨 9 点自动导出本周笔记并发送通知。

文件结构

openclaw-weread-skill/
├── SKILL.md              # 本说明文件
├── README.md             # 详细文档
├── scripts/
│   └── weread_export.py  # 主导出脚本
├── config/
│   └── weread.json       # 配置文件模板
├── templates/
│   ├── markdown.template # Markdown 模板
│   └── obsidian.template # Obsidian 专用模板
└── requirements.txt      # Python 依赖

注意事项

  1. Cookie 有效期: wr_skey 会过期，需要定期更新
  2. 导出限制: 大量笔记导出可能需要较长时间
  3. 隐私保护: 配置文件包含敏感信息，请勿提交到公开仓库
  4. 备份建议: 定期备份导出的笔记文件

故障排除

Cookie 失效

如果导出失败，可能是 Cookie 过期：

  1. 重新登录微信读书网页版
  2. 获取新的 wr_skey
  3. 更新配置文件

网络问题

如遇网络超时：

# 增加超时时间
python scripts/weread_export.py --all --timeout 60

导出不全

部分书籍可能需要先打开阅读页面才能导出笔记。

相关链接

  • 微信读书: https://weread.qq.com
  • 微信读书网页版: https://weread.qq.com/web/reader/

License: MIT
Author: Zyi
Version: 1.0.0

Contract & API

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

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-skill/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-skill/contract"
curl -s "https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-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

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
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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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-skill/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-skill/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-skill/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-skill/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-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": "2026-10-09T22:43:32.315Z"
    }
  },
  "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": "Zhongyi Byte",
    "href": "https://github.com/zhongyi-byte/openclaw-weread-skill",
    "sourceUrl": "https://github.com/zhongyi-byte/openclaw-weread-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:24:07.370Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-skill/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:24:07.370Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "7 GitHub stars",
    "href": "https://github.com/zhongyi-byte/openclaw-weread-skill",
    "sourceUrl": "https://github.com/zhongyi-byte/openclaw-weread-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-14T22:24:07.370Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-skill/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/zhongyi-byte-openclaw-weread-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

Ads related to weread-export and adjacent AI workflows.