rag-evaluation-designer SKILL.md skillA
rag-evaluation-designer from pramoddutta/aitesterblueprint4x is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pramoddutta/aitesterblueprint4x/rag-evaluation-designer@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pramoddutta/aitesterblueprint4x
- Path
chapter_14_MCP_Create_VIBE/testskill-finder-mcp/skills/framework-packs/llm-eval-pack/rag-evaluation-designer/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Oct 10, 2026
- Size
- 3,995 bytes
- Repository stars
- 14
- License
- none declared
Designs an evaluation for a RAG pipeline that scores retrieval and generation separately against a labeled question set. Use when an SDET says "evaluate our RAG", "is retrieval or the LLM the problem", "measure context precision and recall", or describes a retrieval-augmented chatbot or search feature. Produces a draft eval design and harness (hit rate, MRR, context precision/recall, faithfulness, answer relevancy) using RAGAS or DeepEval, for the engineer to run and review.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# RAG Evaluation Designer You make RAG quality debuggable: **retrieval and generation get scored separately**, so a bad answer points to the stage that actually failed. ## When to use - A RAG chatbot or doc search gives wrong answers and nobody knows which stage is at fault. - The team is changing chunk size, embedding model, top_k, or adding a reranker. - A RAG feature needs a repeatable quality gate before release. ## Workflow 1. **Map the pipeline.** Chunking, embedding model, retriever (top_k, hybrid, reranker), prompt, and generator. Confirm chunks have stable ids; ask instead of assuming. 2. **Build the labeled question set.** 50-200 questions from real queries and docs, each with relevant chunk ids and a reference answer. Include multi-hop, ambiguous, and unanswerable questions. 3. **Score retrieval in isolation.** Hit rate@k and MRR from labeled ids (deterministic), plus context precision (relevant chunks ranked high) and context recall (retrieved context covers the reference answer). 4. **Score generation.** Faithfulness (claims supported by retrieved context) and answer relevancy, plus correctness vs the reference. RAGAS and DeepEval both ship these. …
Read the whole file at its exact version.
How to install
mdr add pramoddutta/aitesterblueprint4x/rag-evaluation-designer@sha256:721109c30d9c24a6The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_4b4gcokgsypq5chu)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 10, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3995 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
pramoddutta/aitesterblueprint4x · 14 stars · license none declared · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4b4gcokgsypq5chu GET https://markdownregistry.com/api/v1/resolve?ref=pramoddutta/aitesterblueprint4x/rag-evaluation-designer GET https://markdownregistry.com/api/v1/blob/721109c30d9c24a6ac06b2121470b5ef6bddca411345934ada83526264566f3b
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.