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weread-skills

微信读书助手 — 搜索书籍、管理书架、查看笔记划线、浏览书评、阅读统计、发现推荐好书

Install / Use

npx skills add Tencent/WeChatReading --skill skills

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

69/100

Supported Platforms

Universal

Tags

Our assessment of weread-skills

weread-skills scores 69/100 on our quality scale, 3834th of 4,598 Development & Engineering skills we index.

Its SKILL.md is 3.3 KB long, well organised into 10 sections with 5 code examples: a solid amount of guidance for an agent.

It has no GitHub stars yet, so there is no community track record; judge it on its content.

Substance
26/30
Structure
20/20
Description
8/15
Adoption
0/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 16 days ago, so weread-skills is actively maintained.
  • Our last check on 2026-09-11 found the source still online.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

weread-skills compared with similar skills

All 4 of these similar skills score higher than weread-skills; compare them before choosing.

SkillScoreStarsUpdatedFormat
weread-skills (this skill)by Tencent69016d agoSKILL.md
taste-skillby Leonxlnx100102.7ktodayCLAUDE.md
ai-job-searchby ai-job-search-dev10066.0k5d agoCLAUDE.md
claude-howtoby luongnv8910045.2k6d agoCLAUDE.md
algorithmic-artby anthropics100177.9k33d agoSKILL.md

Frequently asked questions

How do I install weread-skills?
Run npx skills add Tencent/WeChatReading --skill weread-skills. The install tabs above show the steps for each supported agent.
Which AI agents does weread-skills work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is weread-skills safe to use?
It declares no license and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is weread-skills still maintained?
The repository was last updated 16 days ago, so weread-skills is actively maintained.

name: weread-skills description: 微信读书助手 — 搜索书籍、管理书架、查看笔记划线、浏览书评、阅读统计、发现推荐好书 version: 1.0.4

WeRead — 微信读书助手

通过 Agent API Gateway 调用微信读书接口,提供搜索、书架、笔记、书评等能力。

支持的能力

| 能力 | 说明 | 用户示例 | 详细说明 | |------|------|----------|----------| | 搜索书籍 | 在书城搜索 | "帮我搜一下三体" | search.md | | 书籍信息 | 查看书籍详情、章节目录、阅读进度 | "这本书有多少章" "我读到哪了" | book.md | | 书架管理 | 查看书架 | "看看我的书架" | shelf.md | | 阅读统计 | 阅读时长、天数、偏好分析、阅读统计摘要 | "我这个月读了多久" "今年读了几本书" | readdata.md | | 笔记划线 | 查看个人笔记数量与内容,包括划线、想法/点评、书签数量 | "看看我在三体里的笔记" "导出我的划线" "在这本书有多少笔记" | notes.md | | 章节热门划线 | 查看书籍/章节热门划线、划线热度及划线下想法 | "看看这章有什么热门划线" "这段话下面有什么想法" | notes.md | | 书籍点评 | 查看书籍的公开点评 | "三体这本书有什么点评?" "看看推荐的点评" | review.md | | 推荐好书 | 个性化推荐/相似推荐 | "给我推荐几本书" | discover.md |

根据用户意图参考对应说明文件了解接口参数、回包结构和工作流。


接口调用规范

统一入口

POST https://i.weread.qq.com/api/agent/gateway

鉴权

  • Header:Authorization: Bearer $WEREAD_API_KEY
  • WEREAD_API_KEY 从环境变量获取,格式 wrk-xxxxxxxx
  • 若未设置,提示用户:export WEREAD_API_KEY=<你的apikey>
  • API Key 绑定用户身份(vid),需要用户身份的接口会自动注入,无需手动传 vid

请求格式

  • Method:POST
  • Content-Type:application/json
  • Body:JSON,api_name 指定接口,其余为接口参数,每次请求必须带 skill_version
curl -X POST "https://i.weread.qq.com/api/agent/gateway" \
  -H "Authorization: Bearer $WEREAD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api_name": "/store/search", "keyword": "三体", "count": 10, "skill_version": "1.0.4"}'

请求 few-shot

正确:业务参数平铺在 body 顶层。

{"api_name":"/user/notebooks","count":100,"skill_version":"1.0.4"}

正确:下一页继续平铺 lastSort。

{"api_name":"/user/notebooks","count":100,"lastSort":1516907353,"skill_version":"1.0.4"}

错误:不要把业务参数包在 params 内。

{"api_name":"/user/notebooks","params":{"count":100,"lastSort":1516907353},"skill_version":"1.0.4"}

上面的错误写法会导致 count、lastSort 未被转发,后端按默认值返回第一页,看起来像分页失效。

响应格式

  • JSON,回包经过字段裁剪,只返回核心字段
  • errcode 非 0 时表示错误,给出中文提示
  • 发送 {"api_name": "/_list"} 可查看所有可用接口及参数定义

通用规则

  1. 版本上报:每次请求 body 必须包含 "skill_version": "1.0.4"(取本文件顶部 version 字段的值),用于服务端检查版本更新。如果回包中出现 upgrade_info 字段,必须立即暂停当前操作,按照 upgrade_info.message 中的指引完成升级,升级完成后再重新执行用户请求,不得忽略该字段
  2. 参数平铺:业务参数必须和 api_name、skill_version 放在同一层;不要包在 params、data、body 等对象里。只有接口文档明确声明的数组/对象字段(如 /book/readreviews 的 reviews)才允许作为业务字段传入。
  3. 能力文档预检:调用任何接口前,必须先根据「支持的能力」表阅读对应说明文件(如阅读统计先读 readdata.md,书架先读 shelf.md),确认接口参数、字段含义、单位、计数口径和工作流;禁止仅凭字段名或经验猜测含义。
  4. 字段解释优先级:解释接口回包时,以对应说明文件中的字段说明为准;如果回包字段名和直觉含义冲突,必须服从说明文件,不得直接翻译字段名。
  5. bookId 解析:用户输入书名时,先调 /store/search 获取 bookId,再执行后续操作
  6. 书架数量:使用 /shelf/sync 回答“书架有多少本书/多少条目”时,必须按 books.length + albums.length + (mp 非空 ? 1 : 0) 计算;albums[] 是专辑/有声书,也属于书架里的书,详细规则见 shelf.md
  7. 结果展示:列表用编号展示方便选择;搜索结果重点展示书名、作者、评分;展示接口回包信息时,字段禁止直接翻译,应该参考文件中的说明内容提供
  8. 上下文衔接:对话中记住已查询的 bookId,后续操作无需用户重复提供
  9. 深度链接:优先使用接口回包中的 deepLink 字段作为跳转链接,展示为 [打开阅读]({deepLink});若回包没有 deepLink,不要自行拼接 weread:// 链接
  10. 数据展示规范:
  • 时间戳:所有 Unix 时间戳字段(如 updateTime、createTime、finishTime、readUpdateTime 等),展示时须转为 YYYY-MM-DD 格式(如 1748563200 展示为"2025-05-30"),不得直接展示原始数字
  • 阅读时长:单位为秒,展示时转为"X小时Y分钟"格式

深度链接

在展示书籍、章节、划线、想法等内容时,如果回包中有 deepLink 字段,直接使用该字段值作为跳转链接。

  • 跳转链接展示为 Markdown 超链接格式:[打开阅读]({deepLink})。
  • 各接口回包中可能包含 deepLink 字段,如有则直接使用。
  • 若回包中没有 deepLink 字段,不要尝试手动拼接 weread:// 链接。

Related Skills

View on GitHub
GitHub Stars0
CategoryDevelopment
Updated16d ago
Forks0

Trust signals

80/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium1 low