Skill audit report
Scrape Linkedin Selenium audit report.
`scrape_linkedin` is a python package that allows you to scrape personal LinkedIn profiles & company pages - turning the data into structured json.
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, 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
INFO76
530 GitHub stars
Recent maintenance
FAIL22
4y since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add austinoboyle/scrape-linkedin-selenium
Repository evidence
PASS86
https://github.com/austinoboyle/scrape-linkedin-selenium
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add austinoboyle/scrape-linkedin-selenium
Repository
88
https://github.com/austinoboyle/scrape-linkedin-selenium
License
86
MIT
Maintenance
20
4y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
82
network or browser surface
Adoption
88
530 GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 4y 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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