Skill audit report
Browser Fingerprinting audit report.
Analysis of Bot Protection systems with available countermeasures 🚿. How to defeat anti-bot system 👻 and get around browser fingerprinting scripts 🕵️♂️ when scraping the web?
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
PASS94
5.0K GitHub stars
Recent maintenance
PASS88
1mo since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add niespodd/browser-fingerprinting
Repository evidence
PASS86
https://github.com/niespodd/browser-fingerprinting
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add niespodd/browser-fingerprinting
Repository
88
https://github.com/niespodd/browser-fingerprinting
License
45
Unknown
Maintenance
88
1mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Adoption
88
5.0K GitHub stars
Warnings
- License is unclear
- License clarity: Unknown
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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