copilot-ralph AGENTS.md

copilot-ralph AGENTS.md is an instructions file for Codex, OpenCode from JanDeDobbeleer/copilot-ralph. It costs 4,849 tokens per session, scanned A, original, MIT.

A project guide for coding agents working on Ralph, a Go command-line tool that repeatedly asks GitHub Copilot to work on a task and checks whether it is finished.

In plain words
What is it for?
Use it when changing Ralph’s Go code, terminal interface, Copilot integration, tests, or project structure.
Why use it?
It gives the agent the project’s architecture, coding conventions, testing rules, and error-handling expectations in one place.

Instructions file for CodexOpenCode

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/jandedobbeleer/copilot-ralph/agents-md
Clone the repo
git clone --depth 1 https://github.com/JanDeDobbeleer/copilot-ralph

Made for: Codex, OpenCode.

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README.md
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Per session 4,849 This file is loaded in full into every session.
When invoked 4,849 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

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ModelPer sessionOnce invoked
Fable 5 $0.04849 $0.04849
Opus 5 $0.02424 $0.02424
Sonnet 5 $0.00970 $0.00970
Haiku 4.5 $0.00485 $0.00485

Measured 4d ago against content hash 7338b14953c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

copilot-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 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.

AGENTS.md · 945 lines

How it starts

The opening of the file, as written. The whole thing — 945 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ralph Development Guide for AI Agents

This comprehensive guide helps AI agents understand Ralph's architecture, conventions, and development patterns. Use this as your primary reference when working on Ralph.

Table of Contents

  1. Project Overview
  2. Architecture
  3. Package Structure
  4. Development Patterns
  5. Go Conventions
  6. Bubble Tea Patterns
  7. Copilot SDK Integration
  8. Testing Guidelines
  9. Error Handling
  10. Code Style

Project Overview

Ralph is an iterative AI development loop tool that implements the "Ralph Wiggum" technique for self-referential AI development. It continuously feeds prompts to GitHub Copilot AI, monitoring for a "completion promise" phrase, with each iteration building on previous work.

Core Concept

User provides task → Ralph starts loop → AI iterates → Makes changes → Tests →
Checks for promise → If found: complete, else: continue → Max iterations reached or timeout

Technology Stack

  • Language: Go 1.22+
  • CLI: Cobra (command framework)
  • TUI: Bubble Tea (terminal UI framework)
  • AI: GitHub Copilot SDK
  • Testing: testify (assertions and mocks)

Architecture

High-Level Architecture

┌─────────────────────────────────────────────────────────────┐
│                        CLI Layer                            │
│  (cmd/ralph, internal/cli)                                  │
│  - Command parsing                                          │
│  - Flag handling                                            │
│  - Entry point                                              │
└────────────────┬────────────────────────────────────────────┘
                 │
┌────────────────▼────────────────────────────────────────────┐
│                        TUI Layer                            │
│  (internal/tui)                                             │
│  - Terminal UI screens                                      │
│  - User interactions                                        │
│  - Visual feedback                                          │
└────────────────┬────────────────────────────────────────────┘
                 │
┌────────────────▼────────────────────────────────────────────┐
│                       Core Layer                            │
│  (internal/core)                                            │
│  - Loop engine                                              │
│  - State management                                         │
│  - Business logic                                           │
└────────────────┬────────────────────────────────────────────┘
                 │
┌────────────────▼────────────────────────────────────────────┐
│                       SDK Layer                             │
│  (internal/sdk)                                             │
│  - Copilot SDK wrapper                                      │
│  - Session management                                       │
│  - Tool handling                                            │
└─────────────────────────────────────────────────────────────┘

Read the full file on GitHub · 945 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 · 945 lines · 4,849 tokens per session scan A 7338b14953c0

Subscribe to this mod's changes

copilot-ralph AGENTS.md is an instructions file published in the GitHub repository JanDeDobbeleer/copilot-ralph (55 stars, last pushed 7mo ago), licensed MIT. It adds 4,849 tokens to every session, about $0.0242 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.

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