Skill audit report
Introducing the most comprehensive and up-to-date open source dataset on US car models on Github. With over 15,000 entries covering car models manufactured between 1992 and 2026, this repository offers valuable information for anyone looking to incorporate car data into their applications. Best of all, it's completely free to use!
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
524 GitHub stars
Stars/forks activity
INFO71
524 stars, 182 forks; issue activity unavailable in current metadata
Recent maintenance
INFO62
10mo since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add abhionlyone/us-car-models-data
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
filesystem or document access, database access
Repository evidence
PASS86
https://github.com/abhionlyone/us-car-models-data
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add abhionlyone/us-car-models-data
Repository
88
https://github.com/abhionlyone/us-car-models-data
License
45
Unknown
Maintenance
62
10mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
74
filesystem or document access, database access
Stars/forks activity
71
524 stars, 182 forks; issue activity unavailable in current metadata
Adoption
88
524 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
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