Skill audit report
A Survey on Multimodal Retrieval-Augmented Generation
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
524 GitHub stars
Stars/forks activity
INFO65
524 stars, 28 forks; issue activity unavailable in current metadata
Recent maintenance
INFO62
7mo since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add llm-lab-org/Multimodal-RAG-Survey
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/llm-lab-org/Multimodal-RAG-Survey
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add llm-lab-org/Multimodal-RAG-Survey
Repository
88
https://github.com/llm-lab-org/Multimodal-RAG-Survey
License
45
Unknown
Maintenance
62
7mo 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
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
65
524 stars, 28 forks; issue activity unavailable in current metadata
Adoption
88
524 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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