Skill audit report
Mlscraper audit report.
馃 Scrape data from HTML websites automatically by just providing examples
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
PASS86
1.4K GitHub stars
Recent maintenance
FAIL22
2y since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS84
Metadata includes enough usage and workflow context
Dependency risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add lorey/mlscraper
Repository evidence
PASS86
https://github.com/lorey/mlscraper
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add lorey/mlscraper
Repository
88
https://github.com/lorey/mlscraper
License
45
Unknown
Maintenance
20
2y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
network or browser surface
Adoption
88
1.4K GitHub stars
Warnings
- License is unclear
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 2y since push
- 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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