Skill audit report
Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG applications, creating document Q&A systems, or integrating AI with knowledge bases.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
339 GitHub stars
Stars/forks activity
WARN57
339 stars, 39 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
30d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
FAIL38
command execution surface, credential or environment access
Install availability
PASS92
npx skills add giuseppe-trisciuoglio/developer-kit --skill rag
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-ai/skills/rag
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add giuseppe-trisciuoglio/developer-kit --skill rag
Repository
88
https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-ai/skills/rag
License
86
MIT
Maintenance
100
30d since push
AI review
55
The skill uses Java (LangChain4j) for main examples but references Python (LangChain) in the references directory, which may cause confusion for users expecting a single language focus.
README/SKILL.md completeness
86
Usable description available
Dependency risk
38
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
18
secrets or environment access, shell or command execution
Stars/forks activity
57
339 stars, 39 forks; issue activity unavailable in current metadata
Adoption
68
339 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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