Skill audit report
ECommerceCrawlers audit report.
实战🐍多种网站、电商数据爬虫🕷。包含🕸：淘宝商品、微信公众号、大众点评、企查查、招聘网站、闲鱼、阿里任务、博客园、微博、百度贴吧、豆瓣电影、包图网、全景网、豆瓣音乐、某省药监局、搜狐新闻、机器学习文本采集、fofa资产采集、汽车之家、国家统计局、百度关键词收录数、蜘蛛泛目录、今日头条、豆瓣影评、携程、小米应用商店、安居客、途家民宿❤️❤️❤️。微信爬虫展示项目:
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, install safety, permission surface, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS94
5.6K GitHub stars
Stars/forks activity
PASS93
5.6K stars, 1.4K forks; issue activity unavailable in current metadata
Recent maintenance
FAIL22
2y since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add DropsDevopsOrg/ECommerceCrawlers
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/DropsDevopsOrg/ECommerceCrawlers
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add DropsDevopsOrg/ECommerceCrawlers
Repository
88
https://github.com/DropsDevopsOrg/ECommerceCrawlers
License
86
MIT
Maintenance
20
2y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
93
5.6K stars, 1.4K forks; issue activity unavailable in current metadata
Adoption
88
5.6K GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 2y since push
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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