rag-search
rag-search is a RAG & retrieval skill for AI agents, published by thiagofinch in the mega-brain repository on GitHub. Skillspace rates rag-search D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Search Mega Brain RAG knowledge across external, business, and personal buckets using the query orchestrator module. Use when the user asks to search Oracle knowledge, consult RAG, or find what the knowledge base says about a topic.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 63
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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