Skill audit report
Adaptive web scraping for agent data collection
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
70K GitHub stars
Stars/forks activity
PASS100
70K stars, 6.9K forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
WARN50
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add D4Vinci/Scrapling
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
network or browser access
Repository evidence
PASS86
https://github.com/D4Vinci/Scrapling
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add D4Vinci/Scrapling
Repository
88
https://github.com/D4Vinci/Scrapling
License
45
Unknown
Maintenance
88
2mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
50
Description is too thin for confident adoption
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
86
network or browser access
Stars/forks activity
100
70K stars, 6.9K forks; issue activity unavailable in current metadata
Adoption
88
70K GitHub stars
Warnings
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.