Skill audit report
饾樇 饾櫑饾櫄饾櫏饾櫎 饾櫓饾櫎 饾櫇饾櫄饾櫋饾櫏 饾櫘饾櫎饾櫔 饾檵饾櫑饾櫀饾櫂饾櫓饾櫈饾櫒饾櫄 饾檰饾櫔饾櫁饾櫄饾櫑饾櫍饾櫄饾櫓饾櫄饾櫒 饾櫅饾櫑饾櫎饾櫌 饾櫓饾櫇饾櫄 饾櫆饾櫑饾櫎饾櫔饾櫍饾櫃 饾櫔饾櫏 饾櫁饾櫘 饾櫃饾櫎饾櫈饾櫍饾櫆 饾櫏饾櫑饾櫀饾櫂饾櫓饾櫈饾櫂饾櫀饾櫋 饾檷饾櫄饾櫀饾櫋饾櫓饾櫈饾櫌饾櫄 饾櫏饾櫑饾櫎饾櫉饾櫄饾櫂饾櫓饾櫒 饾櫀饾櫍饾櫃 饾櫓饾櫄饾櫀饾櫂饾櫇 饾櫘饾櫎饾櫔 饾櫇饾櫎饾櫖 饾櫓饾櫎 饾櫔饾櫒饾櫄 饾檰饾櫔饾櫁饾櫄饾櫑饾櫍饾櫄饾櫓饾櫄饾櫒 饾櫓饾櫎 饾櫃饾櫄饾櫏饾櫋饾櫎饾櫘, 饾櫌饾櫀饾櫍饾櫀饾櫆饾櫄, 饾櫀饾櫍饾櫃 饾櫒饾櫂饾櫀饾櫋饾櫄 饾櫂饾櫎饾櫍饾櫓饾櫀饾櫈饾櫍饾櫄饾櫑饾櫈饾櫙饾櫄饾櫃 饾櫀饾櫏饾櫏饾櫋饾櫈饾櫂饾櫀饾櫓饾櫈饾櫎饾櫍饾櫒.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
388 GitHub stars
Stars/forks activity
INFO68
388 stars, 291 forks; issue activity unavailable in current metadata
Recent maintenance
FAIL38
1y since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add NotHarshhaa/kubernetes-projects-learning
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/NotHarshhaa/kubernetes-projects-learning
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add NotHarshhaa/kubernetes-projects-learning
Repository
88
https://github.com/NotHarshhaa/kubernetes-projects-learning
License
45
Unknown
Maintenance
38
1y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
68
388 stars, 291 forks; issue activity unavailable in current metadata
Adoption
68
388 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.