ralph AGENTS.md

A set of repository instructions for Ralph, an automated coding-agent loop that repeatedly works through planned tasks. It covers the project’s command-line scripts, interactive flowchart, and supported coding tools.

In plain words
What is it for?
Starting Ralph with Amp or Claude Code, running its flowchart development server, building the flowchart, and understanding the project’s main files and iteration pattern.
Why use it?
It tells contributors how to run, build, and operate the project without guessing the right commands. It also explains how Ralph’s repeated fresh-agent process works.

Instructions file for CodexOpenCode

▶ "Ralph Wiggum" AI Agent will 10x Claude Code/Amp Greg Isenberg · about snarktank/ralph · on YouTube →
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/snarktank/ralph/agents-md
Clone the repo
git clone --depth 1 https://github.com/snarktank/ralph

Made for: Codex, OpenCode.

Per session 329 This file is loaded in full into every session.
When invoked 329 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 $0.00329 $0.00329
Opus 5 $0.00164 $0.00164
Sonnet 5 $0.00066 $0.00066
Haiku 4.5 $0.00033 $0.00033

Measured 3d ago against content hash 82d11c28ace5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ralph 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 3d 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 · 48 lines

What it actually says

Ralph Agent Instructions

Overview

Ralph is an autonomous AI agent loop that runs AI coding tools (Amp or Claude Code) repeatedly until all PRD items are complete. Each iteration is a fresh instance with clean context.

Commands

# Run the flowchart dev server
cd flowchart && npm run dev

# Build the flowchart
cd flowchart && npm run build

# Run Ralph with Amp (default)
./ralph.sh [max_iterations]

# Run Ralph with Claude Code
./ralph.sh --tool claude [max_iterations]

Key Files

  • ralph.sh - The bash loop that spawns fresh AI instances (supports --tool amp or --tool claude)
  • prompt.md - Instructions given to each AMP instance
  • CLAUDE.md - Instructions given to each Claude Code instance
  • prd.json.example - Example PRD format
  • flowchart/ - Interactive React Flow diagram explaining how Ralph works

Flowchart

The flowchart/ directory contains an interactive visualization built with React Flow. It's designed for presentations - click through to reveal each step with animations.

To run locally:

cd flowchart
npm install
npm run dev

Patterns

  • Each iteration spawns a fresh AI instance (Amp or Claude Code) with clean context
  • Memory persists via git history, progress.txt, and prd.json
  • Stories should be small enough to complete in one context window
  • Always update AGENTS.md with discovered patterns for future iterations
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. 3d ago First seen · 48 lines · 329 tokens per session scan A 82d11c28ace5

Subscribe to this mod's changes

ralph AGENTS.md is an instructions file published in the GitHub repository snarktank/ralph (21,663 stars, last pushed 7mo ago), licensed MIT. It adds 329 tokens to every session, about $0.0016 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.