Skill audit report
Data framework for building RAG and knowledge workflows around agent tasks.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
42K GitHub stars
Stars/forks activity
INFO75
42K stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
4mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
WARN50
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add run-llama/llama_index
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/run-llama/llama_index
Review status
PASS90
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add run-llama/llama_index
Repository
88
https://github.com/run-llama/llama_index
License
86
MIT
Maintenance
76
4mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
50
Description is too thin for confident adoption
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
75
42K stars, 0 forks; issue activity unavailable in current metadata
Adoption
88
42K GitHub stars
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.