Skill audit report

Road To Autonomous Driving audit report.

自动驾驶散修一枚 -> 记录自己对自动驾驶的学习过程和相关学习链接

EXPERIMENTAL · REVIEWNeeds reviewGenerated Jun 16, 2026Heuristic metadata audit
66
Audit
71
Trust
49
Quality
88
Security
38
Maintain
92
Install

OpenAgentSkill Trust Score

71
Manual review

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

573 GitHub stars

Recent maintenance

FAIL

38

1y since push

License clarity

WARN

42

Unknown

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add ProgramTraveler/Road-To-Autonomous-Driving

Repository evidence

PASS

86

https://github.com/ProgramTraveler/Road-To-Autonomous-Driving

Review status

PASS

88

AI review data available

Checks

Install and adoption review

6 passed · 8 review

Install path

92

PASS

npx skills add ProgramTraveler/Road-To-Autonomous-Driving

Repository

88

PASS

https://github.com/ProgramTraveler/Road-To-Autonomous-Driving

License

45

CHECK

Unknown

Maintenance

38

FIX

1y since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

573 GitHub stars

Warnings

  • License is unclear
  • Repository appears stale
  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 1y 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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