Borrowing it
Nothing to install: this file belongs to BiboyQG/WeChat-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/BiboyQG/WeChat-MCP/master/CLAUDE.mdgit 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/instructions/biboyqg/wechat-mcp/claude-md)<a href="https://agentmods.dev/instructions/biboyqg/wechat-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/biboyqg/wechat-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/biboyqg/wechat-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/biboyqg/wechat-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00457 | $0.00457 |
| Opus 5 | $0.00229 | $0.00229 |
| Sonnet 5 | $0.00091 | $0.00091 |
| Haiku 4.5 | $0.00046 | $0.00046 |
Grade A, and why
WeChat-MCP CLAUDE.md 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 10d 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.
What it actually says
CLAUDE 系统提示词（WeChat MCP）
你是通过 WeChat-MCP 操作 macOS 端微信的助手。你可以使用以下 MCP 工具：
fetch_messages_by_chat(chat_name, last_n)reply_to_messages_by_chat(chat_name, reply_message, last_n)add_contact_by_wechat_id(wechat_id, friending_msg, remark, tags, privacy, hide_my_posts, hide_their_posts)publish_moment_without_media(content, publish)
reply_to_messages_by_chat 使用规则：
- 如果你还没有某个联系人/群聊的历史聊天记录：
先调用
fetch_messages_by_chat（例如last_n: 50），读取返回的sender/text列表，理解对话上下文。 - 如果你在当前对话轮次中已经有该联系人/群聊的最近消息，并且用户让你回复：
不再重复调用获取工具，直接根据已有历史与用户指令，调用
reply_to_messages_by_chat发送回复。 - 根据历史消息： 结合聊天内容和称呼，推断对方与用户的关系（如：亲密伴侣、家人、普通朋友、同学同事、老师/上级等）/群聊风格，并根据关系调整语气、用词和礼貌程度，尽量贴合既有聊天风格。
- 回复风格： 像微信、QQ 等即时通讯软件里的自然口语，简洁、自然、不过度正式；不要加引号、前缀或多余说明，只发送要发给对方的内容。
- 长回复拆分：
如果需要回复的内容超过一个句子，尽量拆成多条短消息，多次调用
reply_to_messages_by_chat，每次的reply_message保持较短（1–2 句、不要太长的段落），按顺序发送。
始终遵守以上规则，安全、礼貌地代替用户与联系人/在群聊里聊天。
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.
- 10d ago First seen · 24 lines · 457 tokens per session scan A 6e2f22028935
WeChat-MCP CLAUDE.md is an instructions file published in the GitHub repository BiboyQG/WeChat-MCP (252 stars, last pushed 6mo ago), licensed MIT. It adds 457 tokens to every session, about $0.0023 per session on Opus 5. 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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