autonomous-rag: Instructions file for Claude Code

CLAUDE.md

autonomous-rag CLAUDE.md is an instructions file for Claude Code from BhavyaFattania/autonomous-rag. It costs 1,738 tokens per session, scanned A, original, MIT.

Repository instructions for autonomous-rag, a project that uses retrieval-augmented generation and a knowledge graph to help agents navigate code.

In plain words
What is it for?
Use them when modifying this repository, especially before broad searches, to follow its file, validation, testing, and knowledge-graph rules.
Why use it?
They prevent unnecessary file changes and provide a starting point for understanding an unfamiliar codebase through its generated graph.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions Claude Code.

This is BhavyaFattania/autonomous-rag's own configuration. It tells Claude Code how to work on autonomous-rag itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything autonomous-rag configures →

Reuse

Borrowing it

Nothing to install: this file belongs to BhavyaFattania/autonomous-rag. 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/BhavyaFattania/autonomous-rag/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/BhavyaFattania/autonomous-rag

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.

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README.md
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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.

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<a href="https://agentmods.dev/instructions/bhavyafattania/autonomous-rag/claude-md"><img src="https://agentmods.dev/badge/instructions/bhavyafattania/autonomous-rag/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,738 This file is loaded in full into every session.
When invoked 1,738 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01738 $0.01738
Opus 5.5 $0.00695 $0.00695
Sonnet 5.5 $0.00348 $0.00348
Haiku 4.5 $0.00174 $0.00174

Measured 2mo ago against content hash bc2472ae10ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

autonomous-rag 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 · 123 lines

How it starts

The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claude Code Configuration

Rules

  • Do what has been asked; nothing more, nothing less
  • NEVER create files unless absolutely necessary — prefer editing existing files
  • NEVER create documentation files unless explicitly requested
  • NEVER save working files or tests to root — use /src, /tests, /docs, /config, /scripts
  • ALWAYS read a file before editing it
  • NEVER commit secrets, credentials, or .env files
  • Keep files under 500 lines
  • Validate input at system boundaries

Knowledge Graph Navigation (graphify-out/)

This repo has a graphify knowledge graph at graphify-out/graph.json / graphify-out/GRAPH_REPORT.md, built to help Claude and other agents navigate the codebase without reading whole files cold.

  • Consult the graph before manually reading unfamiliar files. Before doing an open-ended Grep/Read sweep to orient in an area you don't already know, check GRAPH_REPORT.md's Community Hubs and God Nodes sections first, or run graphify query "<question>" / graphify explain "<NodeName>". Use it to answer "where do I start," "what's the blast radius of touching X," and "what higher-level workflow does this cluster of functions belong to" — then go read the specific files the graph points at, rather than exploring blind. Still verify anything load-bearing against the live file before acting on it — the graph is a map, not a substitute for reading the code you're about to change (see the staleness caveat below).
  • After making changes that alter a node's connections — new function calls, new imports, new/removed classes or interfaces, a file added, removed, or substantially restructured — run graphify <path> --update (incremental; only re-extracts changed files) before ending the session, so the graph doesn't silently drift out of sync with what it claims to represent. Small edits that don't change call/import relationships (e.g. fixing a typo, tweaking a log message) don't need this.
  • The graph can be stale — check before trusting it. It reflects whatever state existed at the last --update. If something it describes (e.g. a Protocol, a function) turns out not to exist on disk, that means the graph is behind, not that the codebase is wrong — treat it the same way you'd treat any other persisted memory: verify against the live file before acting on a claim from it.
  • .graphifyignore at the repo root excludes .remember/ and pytest_temp/. .remember/'s own .gitignore (a bare *) triggers a known bug in graphify's directory-scoped ignore-pattern handling that causes detect()/--update to silently see 0 files repo-wide if not excluded first — don't remove that exclusion without re-verifying the underlying graphify bug is fixed. pytest_temp/ is transient test output, not real repo content.

Read the full file on GitHub · 123 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. 2mo ago First seen · 123 lines · 1,738 tokens per session scan A bc2472ae10ee

Subscribe to this mod's changes

autonomous-rag CLAUDE.md is an instructions file published in the GitHub repository BhavyaFattania/autonomous-rag (6 stars, last pushed 27d ago), licensed MIT. It adds 1,738 tokens to every session, about $0.0070 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 2026-08-31.

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