Skill audit report
R2R audit report.
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
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
PASS94
7.9K GitHub stars
Recent maintenance
INFO62
7mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add SciPhi-AI/R2R
Repository evidence
PASS86
https://github.com/SciPhi-AI/R2R
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add SciPhi-AI/R2R
Repository
88
https://github.com/SciPhi-AI/R2R
License
86
MIT
Maintenance
62
7mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
82
network or browser surface
Adoption
88
7.9K GitHub stars
Warnings
No major warnings detected from available metadata.
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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