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Install in OpenClaw
/install mp-weixin
Description
利用 Python 从微信公众号文章中提取元数据与正文内容。适用于用户需要解析微信文章链接（mp.weixin.qq.com）、提取文章信息（标题、作者、正文、发布时间、封面图），或将微信文章转换为结构化数据的情景。
Usage Guidance
This skill appears to do exactly what it claims: fetch and parse WeChat public-article pages. Before running: (1) review the bundled Python files yourself (they are small and readable), (2) install pip packages from a trusted index, (3) avoid feeding it URLs you don't trust or content behind login/paywalls, and (4) respect WeChat's terms of service and rate-limit requests (the README already recommends sleep/proxy options). If you plan to run this on sensitive systems, execute it in a sandbox or isolated environment since it will make outbound HTTP requests to URLs you provide.
Capability Analysis
Type: OpenClaw Skill
Name: mp-weixin
Version: 1.0.0
The skill is a legitimate WeChat article scraper that extracts metadata (title, author, content) from mp.weixin.qq.com URLs using standard Python libraries like requests and BeautifulSoup. The code in scripts/wechat_extractor.py and scripts/extract_wechat.py is well-structured, lacks obfuscation, and contains no evidence of data exfiltration, unauthorized network calls, or malicious execution.
Capability Assessment
Purpose & Capability
Name/description (extracting metadata/content from mp.weixin.qq.com) matches the included Python scripts and declared dependencies (requests, BeautifulSoup, lxml). Required binary is python3 which is appropriate.
Instruction Scope
SKILL.md and the scripts only instruct the agent to fetch the provided WeChat article URL, parse HTML, and return structured fields. There are no instructions to read unrelated files, environment variables, or send data to external endpoints other than the target article URLs or user-configured proxies.
Install Mechanism
There is no automated installer; SKILL.md recommends installing common pip packages (beautifulsoup4, requests, lxml) from PyPI or a mirror. All code is bundled with the skill (no remote downloads or extract steps).
Credentials
The skill declares no required environment variables, credentials, or config paths. The code does not reference secrets or unrelated env vars; network access is limited to requests made to URLs supplied by the user.
Persistence & Privilege
always is false and the skill is user-invocable. It does not attempt to modify other skills or system-wide config; it only contains self-contained scripts.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mp-weixin - After installation, invoke the skill by name or use
/mp-weixin - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
**Major update: Migrated skill to a self-contained Python extractor, focusing on reliability and ease of use.**
- Switched to a pure Python implementation (scripts/wechat_extractor.py) without npm or JavaScript dependencies.
- Removed auxiliary documentation and config files (README.md, CHANGELOG.md, skill.yml, tests).
- Now uses modern libraries: BeautifulSoup, requests, lxml.
- Supports direct metadata and content extraction from WeChat article URLs with structured JSON output.
- Includes detailed usage instructions, error handling, and sample code in the updated documentation.
- Batch extraction, proxy support, and timeout customization demonstrated in usage examples.
Metadata
Frequently Asked Questions
What is mp-weixin?
利用 Python 从微信公众号文章中提取元数据与正文内容。适用于用户需要解析微信文章链接（mp.weixin.qq.com）、提取文章信息（标题、作者、正文、发布时间、封面图），或将微信文章转换为结构化数据的情景。 It is an AI Agent Skill for Claude Code / OpenClaw, with 156 downloads so far.
How do I install mp-weixin?
Run "/install mp-weixin" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is mp-weixin free?
Yes, mp-weixin is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does mp-weixin support?
mp-weixin is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created mp-weixin?
It is built and maintained by bozoyan (@bozoyan); the current version is v1.0.0.
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