Skill audit report
Kubernetes GPU Guide audit report.
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
OpenAgentSkill Trust Score
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
INFO76
814 GitHub stars
Recent maintenance
FAIL22
4y since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
INFO72
command execution surface
Install availability
PASS92
npx skills add Langhalsdino/Kubernetes-GPU-Guide
Repository evidence
PASS86
https://github.com/Langhalsdino/Kubernetes-GPU-Guide
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add Langhalsdino/Kubernetes-GPU-Guide
Repository
88
https://github.com/Langhalsdino/Kubernetes-GPU-Guide
License
86
MIT
Maintenance
20
4y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
72
command execution surface
Adoption
88
814 GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 4y since push
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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