rag_skill
rag_skill is a RAG & retrieval skill for AI agents, published by NVIDIA in the GenerativeAIExamples repository on GitHub. Skillspace rates rag_skill B (84/100) and it passed the safety scan; a judge model has also reviewed it.
Retrieve information from simulator manual and example DATA files. Use when answering keyword format questions, syntax queries, or when looking up official documentation and working examples. Essential for understanding keyword definitions, parameter tables, and concrete usage patterns.
- Grade
- B
- Quality
- 84 / 100
- Safety
- Passed
- GitHub stars
- 4,119
Placed #4 of 6 in the judged category final for RAG & retrieval.
Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Tied to one example agent's own simulator doc corpus.
Judge review
Placed #4 of 6 in the judged category final for RAG & retrieval.
- Trigger
78 78 - Instructions
78 78 - Specificity
80 80 - Safety
78 78 - Disclosure
75 75 - Maintenance
72 72
Clear, workable tool reference for a simulator's manual and example retrieval, but it reads more like a thin API doc than a full retrieval-quality workflow.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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