rag-audit

Name: rag-audit
Availability: InStock
Author: floflo777

Analyze RAG implementations for anti-patterns and performance issues.

33|3|Updated Jan 18, 2026

Search Tags:#embeddings #audit #rag #retrieval #code-analysis #vector-store

Ready to run

npx skills add https://github.com/floflo777/claude-rag-skills --skill rag-audit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: rag-audit
Source: https://github.com/floflo777/claude-rag-skills/tree/main/rag-audit
Command: npx skills add https://github.com/floflo777/claude-rag-skills --skill rag-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes RAG implementations for anti-patterns, performance issues, and best practices violations in codebases.

Core Features & Use Cases

Code Analysis: Scans codebases for RAG-related patterns in embeddings, vector stores, retrieval, and generation.
Anti-Pattern Detection: Detects common mistakes and suboptimal patterns.
Best Practices Check: Validates against industry standards for production-grade RAG systems.
Recommendations: Provides actionable fixes with practical code examples.

Quick Start

Invoke /rag-audit in your Claude Code session to generate a structured audit report for your project. Review the report to identify critical issues, warnings, and actionable fixes.

Frequently Asked Questions about rag-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I audit my RAG implementation for best practices and anti-patterns?▼

You can audit a RAG implementation by scanning your codebase for anti-patterns and performance issues across chunking, embeddings, vector stores, retrieval, and generation. It produces a structured audit report with categorized findings and actionable fixes.

What common RAG anti-patterns should I look for in my codebase?▼

Common RAG anti-patterns include suboptimal chunking, inefficient embeddings, and poor vector store retrieval configurations. An audit detects these mistakes by validating code against production-grade industry standards and generating practical recommendations.

How do I check if my RAG retrieval and generation code is production ready?▼

Check if your RAG code is production ready by validating implementations against industry standards to identify performance issues and critical warnings. This generates a structured report detailing categorized findings for development, staging, and production environments.

Can I analyze RAG vector store and embeddings performance issues in staging environments?▼

You can analyze RAG vector store and embeddings performance issues across development, staging, and production environments. The audit identifies suboptimal patterns and provides practical code examples to resolve detected issues.

What is the best way to find suboptimal chunking patterns in RAG applications?▼

The best way to find suboptimal chunking patterns is to run an automated code analysis that scans for RAG-related mistakes. It detects suboptimal patterns and outputs practical recommendations with actionable code examples.