Skill audit report
A collection of AI agent skills for integrating Arize observability, tracing, and experiments into LLM applications.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
51 GitHub stars
Stars/forks activity
WARN48
51 stars, 10 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
Pushed today
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS100
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, credential or environment access
Install availability
PASS92
npx skills add Arize-ai/arize-skills
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/Arize-ai/arize-skills
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Arize-ai/arize-skills
Repository
88
https://github.com/Arize-ai/arize-skills
License
86
MIT
Maintenance
100
Pushed today
AI review
88
Approved with no listed issues
README/SKILL.md completeness
100
Usable description available
Dependency risk
54
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
50
secrets or environment access, shell or command execution
Stars/forks activity
48
51 stars, 10 forks; issue activity unavailable in current metadata
Adoption
68
51 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.
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