rag-retriever CLAUDE.md

rag-retriever CLAUDE.md is an instructions file for coding agents from codingthefuturewithai/rag-retriever. It costs 2,759 tokens per session, scanned A, original, MIT.

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

In plain words
What is it for?
Use them when working on document ingestion, collections, retrieval, CLI commands, maintenance, advanced sources, or the project's agent-facing documentation.
Why use it?
They preserve important project context and point agents to the correct documentation, commands, workflows, and administrative procedures.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/codingthefuturewithai/rag-retriever/claude-md
Clone the repo
git clone --depth 1 https://github.com/codingthefuturewithai/rag-retriever

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.

agentmods badge for rag-retriever CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/codingthefuturewithai/rag-retriever/claude-md.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.svg" alt="Measured on agentmods" 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. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.02759 $0.02759
Opus 5 $0.01380 $0.01380
Sonnet 5 $0.00552 $0.00552
Haiku 4.5 $0.00276 $0.00276

Measured 4d ago against content hash a16ecaa47dec, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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:

  1. AI-First Documentation Strategy Implemented - Following claude-mcp-knowledge-base pattern
  2. Complete CLI Documentation Created - Comprehensive coverage of CLI-only capabilities
  3. Command Namespace Updated - All commands now use rag- prefix for clarity
  4. UI Capabilities Properly Documented - 5 screenshots integrated with accurate descriptions
  5. Master Navigator Created - GETTING_STARTED_GUIDE.md for new users
  6. 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):

  1. rag-retriever-UI-collections.png - Collections management overview
  2. rag-retreiver-UI-delete-collection.png - Collection actions and deletion
  3. rag-retriever-UI-search.png - Interactive knowledge search interface
  4. rag-retriever-UI-compare-collections.png - Collection analytics and comparison
  5. 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.

  1. 4d 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 $0.0138 per session on Opus 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.