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rag-rat: Instructions file for Claude Code

AGENTS.md

rag-rat AGENTS.md is an instructions file for Claude Code, Codex, OpenCode from cq27-dev/rag-rat. It costs 3,030 tokens per session, scanned A, original, MIT.

Repository instructions for coding agents working on rag-rat, a tool that indexes code and stores useful project memories. They explain how to browse the repository, understand dependencies, and keep durable notes.

In plain words
What is it for?
Use them to search code semantically, look up symbols, assess the impact of edits, consult repository memories, and follow the project’s worktree rules.
Why use it?
They help an assistant find relevant code and past decisions before making changes, reducing the risk of overlooking project-specific constraints.

Instructions file for Claude CodeCodexOpenCode

Written for Claude Code and Codex and OpenCode: PreToolUse hook event, but also the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions subagents; mentions Claude Code.

This is cq27-dev/rag-rat's own configuration. It tells Claude Code, Codex and OpenCode how to work on rag-rat 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 rag-rat configures →

not rated 26repo +2 changed 1mo ago A scan 3,030 tokens original MIT
View source ↗ cq27-dev/rag-rat rag-rat.cq27.dev
Reuse

Borrowing it

Nothing to install: this file belongs to cq27-dev/rag-rat. 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/cq27-dev/rag-rat/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/cq27-dev/rag-rat

Made for: Claude Code, Codex, OpenCode.

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Per session 3,030 This file is loaded in full into every session.
When invoked 3,030 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 $0.03030 $0.03030
Opus 5.5 $0.01212 $0.01212
Sonnet 5.5 $0.00606 $0.00606
Haiku 4.5 $0.00303 $0.00303

Measured 1mo ago against content hash 577f633ce680, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rag-rat AGENTS.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 1mo 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.

AGENTS.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for coding agents working in the rag-rat repository. (CLAUDE.md is a symlink to this file.)

Prefer the rag-rat MCP for code browsing

This repo ships rag-rat — a local repo-intelligence index and MCP server — and it is indexed by its own server (dogfooded). Heavily prefer the rag-rat MCP tools over raw grep/cat/file reads when browsing or understanding code. One MCP call returns more context, faster, than a shell sweep, and it surfaces drive-by repo memories (source-anchored invariants, decisions, risks) attached to the code you're touching — context you would otherwise never see.

Reach for these first:

  • semantic_search — "where is this concept implemented?" Returns current source chunks with inline graph (callers/callees), git, and GitHub papertrail, all validated against current source.
  • symbol_lookup — exact/fuzzy symbol resolution (Rust/TS/Kotlin/C/C++/Python/Swift/Go), with any bound memories attached.
  • impact_surface — the coding preflight before editing a symbol: graph callers/callees, tests, git history, papertrail, and repo memories crossing the call path. Run it before changing anything non-trivial.
  • find_callers / trace_callees — reverse/forward graph traversal instead of grepping for call sites.
  • read_chunk — current text for a chunk with anchor validation + graph + memories.
  • repo_brief / repo_clusters — orientation (spine, churn, god-modules, ownership clusters).
  • important_symbols — load-bearing symbols by (SCIP-aware) PageRank; pass personalize to bias toward what you're editing. Compiler-grade once rag-rat oracle run has run.

Symbol handle: symbol-returning tools emit id, an opaque sym_<hex> token — the stable handle to cache and pass back into graph/impact/memory tools as the id param (copy verbatim; never parse it as a number). There is no numeric symbol_id on the wire (it's an internal rowid reassigned on every reindex). Use ref (the path::name qualified name) for the human-readable identity. The symbol-tool params are ref / id / lang (formerly symbol_path / logical_symbol_id / language).

Read the full file on GitHub · 188 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. 1mo ago Changed · +3 lines · +59 tokens per session 577f633ce680
  2. 2mo ago First seen · 185 lines · 2,971 tokens per session scan A b728f0f35048

Subscribe to this mod's changes

rag-rat AGENTS.md is an instructions file published in the GitHub repository cq27-dev/rag-rat (26 stars, last pushed 28d ago), licensed MIT. It adds 3,030 tokens to every session, about $0.0121 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 AIMemory and contextRAG and vectorscall-graphlocal-firstmcpmcp-serverpapertrailrepo-indexing
Related

rag-rat AGENTS.md compared with instructions from other repositories

rag-rat AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
rag-rat AGENTS.mdcq27-dev/rag-ratInstructions file2628d agoMITA3,030Claude Code, Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode