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ricknote

Weixin Article Reader

by RickNote · GitHub ↗ · v0.1.1 · MIT-0
cross-platform ✓ Security Clean
156
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2
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Install in OpenClaw
/install weixin-article-reader
Description
Extract the title, author, publish date, and full body text from Weixin official account article links on mp.weixin.qq.com. Use this skill when a user wants...
Usage Guidance
This skill appears internally consistent and uses only standard Python to fetch and parse mp.weixin.qq.com article pages. Before installing, consider: (1) the script issues an outbound HTTP(S) request to the exact URL you provide — ensure you trust the URL and are comfortable with network access; (2) some Weixin pages may require cookies, JS, or be blocked, so extraction can fail or return empty content; (3) the agent is allowed to invoke the skill implicitly by default (platform normal), so if you want to avoid automatic retrievals, restrict invocation in your agent settings. If you need higher assurance, review the included script (scripts/extract_wechat_article.py) yourself; it contains no calls to external endpoints other than the target page and no credential handling.
Capability Analysis
Type: OpenClaw Skill Name: weixin-article-reader Version: 0.1.1 The skill is a straightforward utility for extracting content from Weixin (WeChat) article URLs. The bundled Python script (scripts/extract_wechat_article.py) uses only the standard library (urllib and HTMLParser) to fetch and parse article metadata and body text, with no evidence of data exfiltration, malicious execution, or prompt injection.
Capability Assessment
Purpose & Capability
Name/description ask for extracting Weixin article fields and the bundle includes a small Python extractor that fetches mp.weixin.qq.com pages and parses title, author, publish date, and body — this matches expected capabilities.
Instruction Scope
SKILL.md instructs running the bundled script against mp.weixin.qq.com URLs. The script only performs an HTTP GET to the provided URL and HTML parsing; it does not read unrelated files, environment variables, or send data to other endpoints.
Install Mechanism
No install spec is present and the README/SKILL.md state the script uses only the standard library. Nothing is downloaded or written by an installer.
Credentials
The skill requires no environment variables, no credentials, and does not access config paths. The script uses only the provided URL and makes an outbound request to that URL (proportionate to the task).
Persistence & Privilege
always:false (default) and no system-wide modifications. agents/openai.yaml allows implicit invocation (normal platform behavior) but the skill does not request elevated or persistent privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install weixin-article-reader
  3. After installation, invoke the skill by name or use /weixin-article-reader
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.1
Improve publish date parsing and align license metadata with platform MIT-0.
v0.1.0
Initial public release
Metadata
Slug weixin-article-reader
Version 0.1.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Weixin Article Reader?

Extract the title, author, publish date, and full body text from Weixin official account article links on mp.weixin.qq.com. Use this skill when a user wants... It is an AI Agent Skill for Claude Code / OpenClaw, with 156 downloads so far.

How do I install Weixin Article Reader?

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

Is Weixin Article Reader free?

Yes, Weixin Article Reader is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Weixin Article Reader support?

Weixin Article Reader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Weixin Article Reader?

It is built and maintained by RickNote (@ricknote); the current version is v0.1.1.

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