Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/biboyqg/wechat-mcp/readmegit clone --depth 1 https://github.com/BiboyQG/WeChat-MCPWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/biboyqg/wechat-mcp/readme)<a href="https://agentmods.dev/agents/biboyqg/wechat-mcp/readme"><img src="https://agentmods.dev/badge/agents/biboyqg/wechat-mcp/readme.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01773 |
| Opus 5 | $0.00000 | $0.00886 |
| Sonnet 5 | $0.00000 | $0.00355 |
| Haiku 4.5 | $0.00000 | $0.00177 |
Grade A, and why
README scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- README — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WeChat-MCP 子代理使用指南
本项目包含 5 个专门为 WeChat-MCP 设计的智能子代理（Sub-agents），帮助用户更高效地管理和使用微信聊天功能。
📋 子代理列表
用途：总结指定聊天的历史消息，提取重要信息、事实和话题
使用场景：
- 快速了解某个聊天的主要内容
- 回顾重要信息和决定
- 查找待办事项和关键日期
使用方法：
使用 chat-summarizer 总结与 [联系人/群名] 的聊天记录
帮我总结一下和小明最近聊了什么
参数：
chat_name: 聊天对象或群组名称
用途：读取最近消息，理解上下文后自动生成并发送回复
使用场景：
- 快速回复某个聊天
- 忙碌时需要及时响应
- 简单的确认或回应
使用方法：
使用 auto-replier 帮我回复一下 [联系人]
用 auto-replier 自动回复小李的消息
参数：
chat_name: 需要回复的聊天对象
特点：
- 自动获取最近 30 条消息
- 理解对话上下文
- 生成得体的回复
- 遵循安全守则（不做重要承诺）
用途：在聊天历史中搜索特定内容、关键词或话题
使用场景：
- 查找之前提到的信息
- 搜索特定话题的讨论
- 找回分享的链接或文件
使用方法：
使用 message-searcher 在与小明的聊天中搜索 "见面时间"
用 message-searcher 找一下小红分享的那篇文章
参数：
chat_name: 要搜索的聊天对象search_query: 搜索关键词或话题
特点：
- 支持关键词、话题、人物搜索
- 提供上下文信息
- 相关度评分
- 搜索结果清晰展示
用途：同时检查多个聊天的最新消息，识别重要和需要回复的内容
使用场景：
- 早上查看所有聊天更新
- 快速了解哪些聊天需要关注
- 筛选优先处理的消息
使用方法：
使用 multi-chat-checker 检查 [小明, 小红, 工作群] 的消息
用 multi-chat-checker 看看哪些聊天需要我回复
参数：
chat_names: 需要检查的聊天列表priority_keywords: （可选）优先关注的关键词
特点：
- 按紧急程度分类
- 识别需要立即回复的消息
- 过滤群聊无关消息
- 提供行动建议
用途：深入分析聊天模式、关系动态和沟通习惯，提供洞察和建议
使用场景：
- 了解某段关系的状态
- 改进沟通方式
- 分析聊天模式
使用方法：
使用 chat-insights 分析我和小明的聊天
用 chat-insights 看看我和女朋友的聊天怎么样
参数：
chat_name: 要分析的聊天对象analysis_focus: （可选）分析重点
特点：
- 关系亲密度评估
- 沟通模式分析
- 话题分布统计
- 情感基调识别
- 提供改进建议
🎯 选择合适的子代理
| 需求 | 推荐子代理 |
|---|---|
| 了解聊天内容 | chat-summarizer |
| 发送消息但不知道怎么说 | auto-replier |
| 快速回复消息 | auto-replier |
| 查找历史信息 | message-searcher |
| 批量检查多个聊天 | multi-chat-checker |
| 了解关系状态或改进沟通 | chat-insights |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 273 lines · 0 tokens per session scan A eeb33ae4c705
README is an agent published in the GitHub repository BiboyQG/WeChat-MCP (248 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,773 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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context-manager
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Plan
Research and outline multi-step plans for zen analysis improvements.
issue-tracker
Issues and PRDs for this repo live as GitHub issues. Use the gh CLI for all operations.
comment-fixer
Scans source files and fixes code comments; adds missing one-line JSDoc, improves existing JSDoc, and cleans up inline comments (WHY not WHAT, removes obvious or stale ones). Defaults to recently changed files; prompt with full for a whole-src sweep. Use when asked to clean up, fix, or standardize comments.
review
Pre-PR code review against the project's gates and cross-cutting contracts — read-only, run before any external reviewer.