Skill audit report
Kubernetes For Ml Engineers Audit report.
Just enough Kubernetes for you to fly
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
578 GitHub stars
Stars/forks activity
INFO71
578 stars, 114 forks; issue activity unavailable in current metadata
Recent maintenance
FAIL38
1y since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO80
external package install surface
Install availability
PASS92
npx skills add Paulescu/kubernetes-for-ml-engineers
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/Paulescu/kubernetes-for-ml-engineers
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add Paulescu/kubernetes-for-ml-engineers
Repository
88
https://github.com/Paulescu/kubernetes-for-ml-engineers
License
45
Unknown
Maintenance
38
1y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
80
external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
71
578 stars, 114 forks; issue activity unavailable in current metadata
Adoption
88
578 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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