Skill audit report

Us Car Models Data 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!

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
74
Audit
77
Trust
61
Quality
88
Security
62
Maintain
92
Install

OpenAgentSkill Trust Score

77
Strong shortlist

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

INFO

76

521 GitHub stars

Recent maintenance

INFO

62

7mo since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

82

database surface

Install availability

PASS

92

npx skills add abhionlyone/us-car-models-data

Repository evidence

PASS

86

https://github.com/abhionlyone/us-car-models-data

Review status

PASS

88

AI review data available

Checks

Install and adoption review

6 passed · 5 review

Install path

92

PASS

npx skills add abhionlyone/us-car-models-data

Repository

88

PASS

https://github.com/abhionlyone/us-car-models-data

License

45

CHECK

Unknown

Maintenance

62

CHECK

7mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

82

PASS

database surface

Adoption

88

PASS

521 GitHub stars

Warnings

  • License is unclear
  • Quality score needs review
  • 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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