← Back to Skills Marketplace
cnwarden

微信公众号文章阅读器

by cnwarden · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
550
Downloads
1
Stars
3
Active Installs
1
Versions
Install in OpenClaw
/install weixin-reader-plus
Description
读取并提取微信公众号文章标题、公众号名称及正文内容,支持移动端访问和自动重定向,适用于mp.weixin.qq.com链接。
Usage Guidance
This skill appears to do only what it says: fetch a WeChat article URL and parse title/account/content. Before installing, consider: (1) Verify you only invoke it with mp.weixin.qq.com links (the script doesn't itself block other hosts); (2) run in a sandboxed environment or restrict network access if you worry about server-side request risks (fetching arbitrary URLs could be abused to probe internal services); (3) install dependencies from trusted PyPI sources and review the small Python file yourself (it is short and readable); (4) expect failures for captcha/protected articles as noted in the instructions.
Capability Analysis
Type: OpenClaw Skill Name: weixin-reader-plus Version: 1.0.0 The skill bundle is a legitimate tool designed to scrape and display content from WeChat Official Account articles. The Python script (weixin_reader.py) uses standard libraries like httpx and BeautifulSoup to fetch and parse HTML, and the SKILL.md instructions are consistent with this purpose without any signs of prompt injection or malicious intent.
Capability Assessment
Purpose & Capability
Name/description promise (read WeChat public articles) matches the included script and SKILL.md which fetch and parse mp.weixin.qq.com pages using httpx + BeautifulSoup.
Instruction Scope
Runtime instructions are focused on running the provided script with a WeChat article URL and installing two Python deps. Minor note: the script itself does not enforce that the URL is strictly under mp.weixin.qq.com (it relies on the trigger rules), so if invoked with arbitrary URLs it will attempt to fetch them.
Install Mechanism
No install spec included (instruction-only plus a small script). Dependencies are standard PyPI packages (httpx, beautifulsoup4) and are reasonable for the task.
Credentials
The skill requests no environment variables, credentials, or config paths. Network access to the provided URL is required and expected.
Persistence & Privilege
Skill is not always-enabled and does not request elevated/persistent privileges or modify other skills; autonomous invocation is allowed by default but is not combined with problematic access here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install weixin-reader-plus
  3. After installation, invoke the skill by name or use /weixin-reader-plus
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of WeChat Official Account Article Reader. - Added weixin_reader.py for fetching and extracting WeChat article content via mp.weixin.qq.com links. - Supports CLI usage: specify the article URL to read and output title, official account, and article content. - Handles mobile WeChat User-Agent and follows redirects for better compatibility. - Outputs in a clear text format with article metadata and body. - Documents dependencies (httpx, beautifulsoup4) and usage instructions in SKILL.md.
Metadata
Slug weixin-reader-plus
Version 1.0.0
License MIT-0
All-time Installs 3
Active Installs 3
Total Versions 1
Frequently Asked Questions

What is 微信公众号文章阅读器?

读取并提取微信公众号文章标题、公众号名称及正文内容,支持移动端访问和自动重定向,适用于mp.weixin.qq.com链接。 It is an AI Agent Skill for Claude Code / OpenClaw, with 550 downloads so far.

How do I install 微信公众号文章阅读器?

Run "/install weixin-reader-plus" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 微信公众号文章阅读器 free?

Yes, 微信公众号文章阅读器 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 微信公众号文章阅读器 support?

微信公众号文章阅读器 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 微信公众号文章阅读器?

It is built and maintained by cnwarden (@cnwarden); the current version is v1.0.0.

💬 Comments