rag-ops
rag-ops is a RAG & retrieval skill for AI agents, published by pvillega in the claude-templates repository on GitHub. Skillspace rates rag-ops F (54/100) and it passed the safety scan; the rating is based on static analysis only.
Deep RAG application-layer operational intuition — chunking (late chunking, contextual retrieval), embedding-model landscape, reranker economics (ColBERT, ColPali), hybrid retrieval (BM25 + dense + RRF, SPLADE-v3), evaluation (RAGAS, judge bias), grounding, long-context-vs-RAG. Load when designing chunking, embedding-model selection, reranker integration, eval design, hallucination audits, or long-context-vs-RAG sizing. Skip for ANN index choice (use `vector-search`), embedding fine-tuning, or prompt engineering. Pairs with `vector-search`. Triggers on: "late chunking", "contextual retrieval", "MTEB", "BGE-M3", "Matryoshka embeddings", "SPLADE-v3", "RRF", "ColBERTv2", "ColPali", "HyDE", "RAGAS", "groundedness", "lost in the middle", "Self-RAG", "CRAG".
- Grade
- F
- Quality
- 54 / 100
- Safety
- Passed
- GitHub stars
- 23
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
- 81 / 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
- mentions secrets in text
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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