rag-retrieval-audit SKILL.md skillA

rag-retrieval-audit from alivirgo/major-ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add alivirgo/major-ai-skills/rag-retrieval-audit@git:20261005.2bc0998

Pins git:20261005.2bc0998 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
alivirgo/major-ai-skills
Path
plugins/mas-ai-workflows/skills/rag-retrieval-audit/SKILL.md
Versions recorded
2
Latest version
git:20261005.2bc0998, committed Oct 5, 2026
First version recorded
Sep 11, 2026
Size
16,413 bytes
Repository stars
2
License
MIT

Diagnose missing evidence in a RAG pipeline with labeled queries, chunk/trace inspection, Recall@K/MRR/nDCG, and stage-isolated failure taxonomy. Use when retrieval looks fine but answers fail, or when index/chunk/filter/rerank changes need before/after proof.

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 Retrieval Audit AI Skill Guide (Claude)

## Overview & Engine Architecture

A RAG system fails in stages. Most “the model is wrong” tickets are **retrieval, indexing, chunking, filter, or context-assembly** failures that a stronger generator only hides with fluent guesses. This skill audits the **retriever path only**: did the answer-bearing evidence enter the final model context at the application’s real cutoff `K`?

Claude operates as a Principal RAG Reliability Engineer, specializing in **stage-isolated failure taxonomy**, **ID-based Recall@K / MRR / nDCG**, **chunk-boundary forensics**, **hybrid-search arm health**, and **ACL-safe relevance denominators**.

```
┌─────────────────────────────────────────────────────────────┐
│                 RAG Retrieval Audit Stack                   │
│                                                             │
│  Corpus governance                                          │
│  ├── Source docs → parse → chunk → embed → index revision   │
│  └── Metadata: ACL, tenant, version/hash, embedding_model   │
│                                                             │
│  Query path                                                 │
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add alivirgo/major-ai-skills/rag-retrieval-audit@sha256:6b39bbb165122e73

The line at the top of this page pins the label git:20261005.2bc0998, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_dw77j36tblmeo2ec.svg)](https://markdownregistry.com/a/art_dw77j36tblmeo2ec)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Sep 11, 2026 and Oct 5, 2026, about one every 24 days.

versioncommittedcommitsizeaudit
git:20261005.2bc0998 latest2026-10-05 2bc0998 16,413 BA view · diff
git:20260911.25436b52026-09-11 25436b5 1,654 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (16413 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

GitHub

alivirgo/major-ai-skills · 2 stars · license MIT · pushed 2026-10-21 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_dw77j36tblmeo2ec
GET https://markdownregistry.com/api/v1/resolve?ref=alivirgo/major-ai-skills/rag-retrieval-audit
GET https://markdownregistry.com/api/v1/blob/6b39bbb165122e73dde903d056cbffffd93f009f4f84e12c4fddc20f40721a3a

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.

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