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wechat-summary2
by
mick2458pan
· GitHub ↗
· v1.0.1
· MIT-0
320
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install wechat-summary2
Description
总结微信公众号文章内容。当用户提供微信公众号文章链接(mp.weixin.qq.com)并要求总结、概括、摘要、快速了解文章内容时使用此 skill。也适用于用户说"帮我看看这篇文章讲什么"、"这篇公众号文章说了啥"、"总结一下这个链接"等请求。只要看到 mp.weixin.qq.com 的链接并且用户想了解内容...
Usage Guidance
This skill appears to do what it claims: it fetches the provided WeChat article URL (via WebFetch or a bundled Python scraper) and summarizes the extracted text. Before installing, note: (1) the bundled script will be executed locally to fetch the article — review the script if you want to confirm behavior; (2) it makes HTTP requests only to the user-supplied URL (no hidden remote endpoints), but it will not access private/authenticated content that requires a login; (3) scraping may trigger anti-bot pages (the skill detects this and reports it rather than bypassing it); (4) if you are concerned about sending sensitive links to external network, avoid using the skill for private content. Overall the skill is internally consistent and proportionate to its purpose.
Capability Analysis
Type: OpenClaw Skill
Name: wechat-summary2
Version: 1.0.1
The skill is designed to fetch and summarize WeChat articles, using a Python script (scripts/fetch_article.py) as a fallback when standard web fetching fails. While the script logic is benign, the instructions in SKILL.md direct the agent to execute the script via a shell command with a user-provided URL wrapped in double quotes, which is vulnerable to command injection if the URL contains shell metacharacters. No evidence of intentional malice or data exfiltration was found.
Capability Assessment
Purpose & Capability
Name/description (WeChat public account article summarizer) match the included Python scraper and SKILL.md workflow. The bundled script fetches and extracts title/author/content from mp.weixin.qq.com pages, which is coherent with the stated purpose.
Instruction Scope
Runtime instructions are constrained: use WebFetch to retrieve the user-provided URL, and fall back to the bundled Python script if WebFetch hits anti-bot verification. The instructions do not reference unrelated files, credentials, or external endpoints beyond the target article URL.
Install Mechanism
No install spec — instruction-only plus a small local script. Nothing is downloaded from external URLs or installed at runtime, which reduces supply-chain risk.
Credentials
No environment variables, credentials, or config paths are requested. The script only issues HTTP GET requests to the user-provided article URL and parses the HTML — proportional to the task.
Persistence & Privilege
Skill is not marked always:true and does not request persistent elevated privileges or modify other skills. It runs only when invoked as described.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install wechat-summary2 - After installation, invoke the skill by name or use
/wechat-summary2 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
微信公众文章总结技能 v1.0.0 发布
- 支持用户输入微信公众号文章链接自动提取并总结核心内容
- 按文章长度灵活调整总结方式:短文精简句、中长文段落、长文要点列表
- 标明关键数据、核心观点、结论、时效信息和建议
- WebFetch 获取内容失败时自动切换 Python 脚本采集
- 错误处理完善,获取失败时给予用户友好提示
- 中文纯文本输出,简洁客观
Metadata
Frequently Asked Questions
What is wechat-summary2?
总结微信公众号文章内容。当用户提供微信公众号文章链接(mp.weixin.qq.com)并要求总结、概括、摘要、快速了解文章内容时使用此 skill。也适用于用户说"帮我看看这篇文章讲什么"、"这篇公众号文章说了啥"、"总结一下这个链接"等请求。只要看到 mp.weixin.qq.com 的链接并且用户想了解内容... It is an AI Agent Skill for Claude Code / OpenClaw, with 320 downloads so far.
How do I install wechat-summary2?
Run "/install wechat-summary2" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is wechat-summary2 free?
Yes, wechat-summary2 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does wechat-summary2 support?
wechat-summary2 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created wechat-summary2?
It is built and maintained by mick2458pan (@mick2458pan); the current version is v1.0.1.
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