Skill audit report

R2R Audit report.

SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.

REVIEWED · ALLOWSafe to tryGenerated Aug 3, 2026Heuristic metadata audit
85
Audit
86
Trust
92
Quality
86
Security
62
Maintain
92
Install

OpenAgentSkill Trust Score

86
Production candidate

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

94

7.9K GitHub stars

Stars/forks activity

PASS

88

7.9K stars, 636 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

62

9mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add SciPhi-AI/R2R

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

72

filesystem or document access, network or browser access

Repository evidence

PASS

86

https://github.com/SciPhi-AI/R2R

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 2 Needs review

Install path

92

PASS

npx skills add SciPhi-AI/R2R

Repository

88

PASS

https://github.com/SciPhi-AI/R2R

License

86

PASS

MIT

Maintenance

62

CHECK

9mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

82

PASS

network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

72

CHECK

filesystem or document access, network or browser access

Stars/forks activity

88

PASS

7.9K stars, 636 forks; issue activity unavailable in current metadata

Adoption

88

PASS

7.9K GitHub stars

Warnings

No major warnings 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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