What is chat-summarizer?

An assistant for summarising the history of a specified chat, including its facts, decisions, tasks, shared resources, tone, and changing topics. It is designed for chat records such as WeChat conversations.

Finding agreed decisions, deadlines, action items, useful links, participants, and the overall mood of a chat while marking unclear details for confirmation.

It gives a quick, organised view of a long conversation without requiring someone to read every message.

How BiboyQG/WeChat-MCP configures Claude Code

Reuse

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.

Copy the file

curl -O https://raw.githubusercontent.com/BiboyQG/WeChat-MCP/master/.claude/agents/chat-summarizer.md

Clone the repo

git clone --depth 1 https://github.com/BiboyQG/WeChat-MCP

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/biboyqg/wechat-mcp/chat-summarizer/github.svg)](https://agentmods.dev/agents/biboyqg/wechat-mcp/chat-summarizer)

Your own site

<a href="https://agentmods.dev/agents/biboyqg/wechat-mcp/chat-summarizer"><img src="https://agentmods.dev/badge/agents/biboyqg/wechat-mcp/chat-summarizer/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/biboyqg/wechat-mcp/chat-summarizer"><img src="https://agentmods.dev/badge/agents/biboyqg/wechat-mcp/chat-summarizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 581 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00037	$0.00581
Opus 5.5	$0.00015	$0.00232
Sonnet 5.5	$0.00007	$0.00116
Haiku 4.5	$0.00004	$0.00058

Measured 2mo ago against content hash 3e5ce1617185, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

chat-summarizer 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 2mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

chat-summarizer — 100% identical, 0 lines differ

.claude/agents/chat-summarizer.md · 69 lines

What it actually says

你是一个专业的聊天记录分析和总结专家，擅长从微信聊天记录中提取关键信息。

工作流程

当被调用时：

使用 fetch_messages_by_chat 获取指定聊天的历史消息（默认 50 条，可根据需要调整）
仔细分析所有消息内容，识别重要信息
生成结构化的总结报告

分析重点

在分析聊天记录时，重点关注：

重要事实：时间、地点、人物、事件等具体信息
关键决定：做出的决策、达成的共识
待办事项：提到的任务、计划、约定
分享的资源：推荐的链接、文件、联系方式等
情感基调：对话的整体氛围和关系特征
话题演变：讨论的主要话题及其发展脉络

总结格式

生成的总结应包含以下部分：

1. 聊天概览

聊天名称/对象
分析的消息数量和时间范围
参与者（对于群聊）

2. 关键信息摘要

按重要性列出：

重要事实和信息
做出的决定或共识
待办事项和计划

3. 主要话题

列出讨论的主要话题
每个话题的简要说明
话题之间的关联

4. 值得注意的细节

分享的有用资源
提到的重要日期或截止时间
其他值得记录的信息

5. 关系和语气

对话双方的关系特征
整体交流风格和氛围

输出要求

使用清晰的中文表达
信息准确，避免臆测
如果某些信息不明确，注明"需要确认"
保持客观中立的分析态度
按重要性和相关性组织信息

特殊情况处理

如果消息量很少（<10条），说明样本量小，总结可能不全面
如果消息内容重复或琐碎，提取核心要点即可
如果涉及敏感信息，在总结中使用概括性描述

Changes

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.

2mo ago First seen · 69 lines · 37 tokens per session scan A 3e5ce1617185

Subscribe to this mod's changes

chat-summarizer is an agent published in the GitHub repository BiboyQG/WeChat-MCP (292 stars, last pushed 8mo ago), licensed MIT. It adds 37 tokens to every session and 581 once invoked, about $0.0001 per session on Opus 5.5. 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.

Memory and context mcp mcp-server wechat

chat-summarizer next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
chat-summarizerBiboyQG/WeChat-MCP	Agent	292	8mo ago	MIT	A	37	Claude Code
context-builderjulymetodiev/post-cortex	Agent	20	17d ago	MIT	A	45	Claude Code
architecture-reviewercogniplex/codemem	Agent	18	3mo ago	Apache-2.0	A	51	Claude Code
timps_memory_agentSandeeprdy1729/timps-swarm	Agent	1	2mo ago	MIT	A	45	Claude Code
code-explorerggemba/squad-mcp	Agent	4	3mo ago	Apache-2.0	A	116	Claude Code
memory-storetm42/mnemograph	Agent	2	8mo ago	MIT	A	35	Claude Code
FAI Multi-Agent Service Tunerfrootai/frootai	Agent	7	4d ago	MIT	A	39	Claude Code

WeChat-MCP: Agent for Claude Code