wechat-article-fetch
wechat-article-fetch is a Web scraping & data collection skill for AI agents, published by cat-xierluo in the legal-skills repository on GitHub. Skillspace rates wechat-article-fetch B (85/100) and it passed the safety scan; the rating is based on static analysis only.
抓取微信公众号文章内容，使用 Playwright headless 模式无弹窗后台抓取，支持动态加载内容，自动提取标题和正文并保存为 Markdown 文件。本技能应在用户需要抓取微信公众号文章内容时使用。检测到法律内容且项目中存在 legal-text-format 时自动链式调用格式化。默认保存到 skill 内部 archive 目录。
- Grade
- B
- Quality
- 85 / 100
- Safety
- Passed
- GitHub stars
- 471
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 85 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.