Skill audit report
Quivr audit report.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
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
PASS100
39K GitHub stars
Recent maintenance
INFO62
11mo since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
INFO64
external package install surface, network or browser surface
Install availability
PASS92
npx skills add QuivrHQ/quivr
Repository evidence
PASS86
https://github.com/QuivrHQ/quivr
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add QuivrHQ/quivr
Repository
88
https://github.com/QuivrHQ/quivr
License
45
Unknown
Maintenance
62
11mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
64
external package install surface, network or browser surface
Adoption
88
39K GitHub stars
Warnings
- License is unclear
- License clarity: Unknown
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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