Skill audit report
A curated collection of modular agent skills for LLM-based agents, covering research, data analysis, and more.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
146 GitHub stars
Stars/forks activity
WARN51
146 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS100
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO74
network or browser surface, database surface
Install availability
PASS92
npx skills add oliverb-io1902e8/agent-skills-collection
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/oliverb-io1902e8/agent-skills-collection
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add oliverb-io1902e8/agent-skills-collection
Repository
88
https://github.com/oliverb-io1902e8/agent-skills-collection
License
86
MIT
Maintenance
88
2mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
100
Usable description available
Dependency risk
74
network or browser surface, database surface
Install command safety
92
standard package or runtime install path
Permission surface
60
filesystem or document access, network or browser access
Stars/forks activity
51
146 stars, 0 forks; issue activity unavailable in current metadata
Adoption
68
146 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.
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