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 skills add guanyang/open-agent-hub --skill baoyu-wechat-summarygit clone --depth 1 https://github.com/guanyang/open-agent-hubWrote 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/skills/guanyang/open-agent-hub/baoyu-wechat-summary)<a href="https://agentmods.dev/skills/guanyang/open-agent-hub/baoyu-wechat-summary"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/baoyu-wechat-summary/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/skills/guanyang/open-agent-hub/baoyu-wechat-summary"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/baoyu-wechat-summary.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 | $0.00213 | $0.08583 |
| Opus 5.5 | $0.00085 | $0.03433 |
| Sonnet 5.5 | $0.00043 | $0.01717 |
| Haiku 4.5 | $0.00021 | $0.00858 |
Grade B, and why
baoyu-wechat-summary scanned grade B with 1 finding 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 1mo 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- **wx-cli reinit**. If `wx history` suddenly returns nothing after a WeChat restart, the keys may be stale. Tell the user to run `sudo wx init --force` (while WeChat is running) and retry. This is a copy
100% identical to baoyu-wechat-summary — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 498 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WeChat Group Summary
群聊精华提取专家。把零散的微信群聊记录提炼成结构化、可读性强的简报，并维护跨次运行的群聊历史与群友画像。底层依赖外部 wx-cli 二进制（wx 命令），不打包脚本。
⚠️ Sandbox restriction
wx-cli reads from
~/.wx-cli/(config, cache, daemon socket) and from WeChat's data directory (~/Library/Containers/com.tencent.xinWeChat/on macOS). Both paths are outside Claude Code's default sandbox. Everywxcommand in this skill needs to run withdangerouslyDisableSandbox: truefrom the start — don't waste a sandbox attempt first. The user can use/sandboxto view/edit restrictions.
References（按需加载）
本文件只保留工作流骨架；细节拆在 references/ 下，执行到对应步骤时再读，不要一开始全部读入：
| 参考文件 | 内容 | 何时读 |
|---|---|---|
| references/setup.md | 环境检查（wx-cli 安装/权限/初始化）、wx-cli 命令速查、排障手册 | 新环境首次运行，或任何 wx 命令失败时 |
| references/output-formats.md | 两版摘要的 Section 顺序、格式与内容规范、输出骨架、自检清单 | Round 2 动笔前 |
| references/profiles.md | 画像文件格式、更新规则、隐私红线、回溯流程 | Step 3.7 / 8.5 / Step 9 |
| references/group-memory.md | 群级事实记忆的写入门槛、防注入、格式 | Step 8.6 |
User Input Tools
When this skill prompts the user, follow this tool-selection rule (priority order):
- Prefer built-in user-input tools exposed by the current agent runtime — e.g.,
AskUserQuestion,request_user_input,clarify,ask_user, or any equivalent. - Fallback: if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question.
- Batching: if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order.
Concrete AskUserQuestion references below are examples — substitute the local equivalent in other runtimes.
Prerequisites
快速验证环境：wx --version 有输出且 wx sessions 返回数据即可继续。任何一步失败，或是首次在新环境运行 → 读 references/setup.md（完整环境检查、wx-cli 命令速查、排障手册），停在第一个失败项并给用户确切的修复命令。绝不自动安装、绝不替用户跑 sudo。
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 498 lines · 213 tokens per session scan B 6fe746670aed
baoyu-wechat-summary is a skill published in the GitHub repository guanyang/open-agent-hub (981 stars, last pushed yesterday), licensed MIT. It adds 213 tokens to every session and 8,583 once invoked, about $0.0009 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). It is 100% identical to baoyu-wechat-summary, differing in 0 lines, and is treated as a copy.
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learn
Runs a six-phase research workflow from source bundle to publish-ready output. Use when researching an unfamiliar domain or compiling materials into one reference. Not for quick lookups or single-file reads.
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