What is rag-retriever CLAUDE.md?

Repository instructions for RAG Retriever, a system for finding information in stored documents and making it available to AI agents.

Use them when working on document ingestion, collections, retrieval, CLI commands, maintenance, advanced sources, or the project's agent-facing documentation.

They preserve important project context and point agents to the correct documentation, commands, workflows, and administrative procedures.

How codingthefuturewithai/rag-retriever configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to codingthefuturewithai/rag-retriever. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/codingthefuturewithai/rag-retriever/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/codingthefuturewithai/rag-retriever

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/codingthefuturewithai/rag-retriever/claude-md/github.svg)](https://agentmods.dev/instructions/codingthefuturewithai/rag-retriever/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/codingthefuturewithai/rag-retriever/claude-md"><img src="https://agentmods.dev/badge/instructions/codingthefuturewithai/rag-retriever/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/codingthefuturewithai/rag-retriever/claude-md"><img src="https://agentmods.dev/badge/instructions/codingthefuturewithai/rag-retriever/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,759 This file is loaded in full into every session.

When invoked 2,759 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.02759	$0.02759
Opus 5.5	$0.01104	$0.01104
Sonnet 5.5	$0.00552	$0.00552
Haiku 4.5	$0.00276	$0.00276

Measured 2mo ago against content hash a16ecaa47dec, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rag-retriever CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

CRITICAL SESSION CONTEXT (JULY 2025)

COMPLETED MAJOR DOCUMENTATION OVERHAUL - ALL CHANGES APPLIED AND TESTED

What Was Just Completed:

AI-First Documentation Strategy Implemented - Following claude-mcp-knowledge-base pattern
Complete CLI Documentation Created - Comprehensive coverage of CLI-only capabilities
Command Namespace Updated - All commands now use rag- prefix for clarity
UI Capabilities Properly Documented - 5 screenshots integrated with accurate descriptions
Master Navigator Created - GETTING_STARTED_GUIDE.md for new users
Architecture Diagrams Updated - Mermaid diagrams ready for README integration

New Documentation Files Created:

CLI_ASSISTANT_PROMPT.md - Complete CLI reference and workflows
ADMIN_ASSISTANT_PROMPT.md - Administrative operations and maintenance
ADVANCED_CONTENT_INGESTION_PROMPT.md - Images, PDFs, GitHub, Confluence
GETTING_STARTED_GUIDE.md - Master navigator for entire ecosystem

New Claude Code Commands (with rag- prefix):

/rag-list-collections - Show collections with metadata
/rag-search-knowledge - Semantic search across collections
/rag-index-website - Crawl and index websites
/rag-audit-collections - Review collection health
/rag-assess-quality - Evaluate content quality
/rag-manage-collections - Administrative operations (provides CLI commands)
/rag-ingest-content - Advanced content ingestion guidance
/rag-cli-help - Interactive CLI help system
/rag-getting-started - Interactive getting started guide

UI Screenshots Integrated (5 total):

rag-retriever-UI-collections.png - Collections management overview
rag-retreiver-UI-delete-collection.png - Collection actions and deletion
rag-retriever-UI-search.png - Interactive knowledge search interface
rag-retriever-UI-compare-collections.png - Collection analytics and comparison
rag-retreiver-UI-discover-and-index-new-web-content.png - Content discovery workflow

Read the full file on GitHub · 248 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 248 lines · 2,759 tokens per session scan A a16ecaa47dec

Subscribe to this mod's changes

rag-retriever CLAUDE.md is an instructions file published in the GitHub repository codingthefuturewithai/rag-retriever (27 stars, last pushed 1y ago), licensed MIT. It adds 2,759 tokens to every session, about $0.0110 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AI RAG and vectors

rag-retriever CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
rag-retriever CLAUDE.mdcodingthefuturewithai/rag-retriever	Instructions file	27	1y ago	MIT	A	2,759	Claude Code
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

rag-retriever: Instructions file for Claude Code