Skill audit report
RAG FiT audit report.
Framework for enhancing LLMs for RAG tasks using fine-tuning.
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
INFO76
770 GitHub stars
Recent maintenance
PASS100
7d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add IntelLabs/RAG-FiT
Repository evidence
PASS86
https://github.com/IntelLabs/RAG-FiT
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add IntelLabs/RAG-FiT
Repository
88
https://github.com/IntelLabs/RAG-FiT
License
86
Apache-2.0
Maintenance
100
7d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
770 GitHub stars
Warnings
- Quality score needs review
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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