微信读书 Skill#

通过微信读书 Web API 获取用户的阅读数据。依赖 Cookie 认证。

前置：Cookie 配置#

Cookie 存储路径: ~/.weread/cookie（纯文本单行）。

所有 API 命令依赖此文件。Cookie 不存在或过期时，命令会报错并提示重新登录。

获取 Cookie（三选一）#

方式 1 — 浏览器自动提取（推荐）：

1. 用 browser 工具打开 https://weread.qq.com（profile=openclaw 或 user）
2. 确认已登录（页面显示用户头像/书架）
3. 执行 JavaScript 提取 cookie： document.cookie
4. 将结果写入 ~/.weread/cookie

方式 2 — 手动粘贴：

bash

python3 ~/.openclaw/workspace/skills/weread/scripts/weread_login.py paste

方式 3 — 直接写入： 用户提供 cookie 字符串后直接写入 ~/.weread/cookie。

验证 Cookie#

bash

python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py verify

Cookie 过期时 API 返回 errcode -2012，提示用户重新登录。

命令参考#

脚本目录: skills/weread/scripts/（相对于 workspace） 执行示例使用绝对路径: python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py

命令说明示例shelf获取书架（书名、作者、进度、阅读时长）python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py shelf``search <keyword>搜索书架中的书籍（模糊匹配书名/作者）python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py search 心理学``info <bookId>获取书籍详情（评分、字数、出版信息）python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py info 123456``progress <bookId>获取阅读进度python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py progress 123456``detail <bookId>获取详细阅读信息（时长明细、完成日期）python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py detail 123456``bookmarks <bookId>获取划线记录python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py bookmarks 123456``reviews <bookId>获取我的笔记/想法python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py reviews 123456``best-reviews <bookId> [count]获取热门书评python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py best-reviews 123456 5``chapters <bookId>获取章节信息python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py chapters 123456``verify验证 Cookie 是否有效python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py verify

辅助脚本#

脚本说明示例random_review.py随机抽取读书笔记（加权，更长更优先）python3 ~/.openclaw/workspace/skills/weread/scripts/random_review.py --count 2 --min-length 50``export_notes.py全量导出笔记到 ~/.weread/``python3 ~/.openclaw/workspace/skills/weread/scripts/export_notes.py``export_notes.py --stats显示笔记统计信息python3 ~/.openclaw/workspace/skills/weread/scripts/export_notes.py --stats``weread_login.py paste手动粘贴 Cookie 登录python3 ~/.openclaw/workspace/skills/weread/scripts/weread_login.py paste

典型工作流#

查看书架概况#

bash

python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py shelf

返回所有书籍的 bookId、书名、作者、进度百分比、阅读时长、是否读完。

获取某本书的笔记和划线#

1. 先搜索获取 bookId： python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py search 思考快与慢
2. 用 bookId 获取划线： python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py bookmarks <bookId>
3. 用 bookId 获取笔记： python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py reviews <bookId>
4. 需要章节信息时： python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py chapters <bookId>

查看阅读统计#

1. python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py shelf 获取整体阅读时长
2. python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py detail <bookId> 获取单本详细阅读数据

查看热门书评#

1. 搜索获取 bookId
2. python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py best-reviews <bookId> 10

随机读书回顾#

适用于晨报、日报或任何需要读书笔记回顾的场景：

bash

python3 ~/.openclaw/workspace/skills/weread/scripts/random_review.py --count 2 --min-length 50 --format text

• --count N：抽取 N 条笔记（默认 3）
• --min-length L：最小字数过滤（默认 20）
• --format json|text：输出格式（默认 text）

需要先运行 export_notes.py 导出笔记数据。

输出格式#

所有命令输出 JSON。关键字段：

• bookId: 书籍唯一标识（后续命令的入参）
• progress: 阅读进度（0-100）
• readingTime: 阅读时长（已格式化为 X小时X分钟）
• finishReading: 是否已读完
• markText: 划线文本
• content: 笔记内容

Cookie 过期处理#

当命令报错 "Cookie 已过期" 时：

1. 用浏览器工具打开 https://weread.qq.com，确认登录态
2. 提取 document.cookie 写入 ~/.weread/cookie
3. 运行 python3 ~/.openclaw/workspace/skills/weread/scripts/weread_api.py verify 确认