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.
npx agentmods add instructions/jandedobbeleer/copilot-ralph/agents-mdgit clone --depth 1 https://github.com/JanDeDobbeleer/copilot-ralphWrote 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.
[](https://agentmods.dev/instructions/jandedobbeleer/copilot-ralph/agents-md)<a href="https://agentmods.dev/instructions/jandedobbeleer/copilot-ralph/agents-md"><img src="https://agentmods.dev/badge/instructions/jandedobbeleer/copilot-ralph/agents-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once 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 |
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.
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
- Project Overview
- Architecture
- Package Structure
- Development Patterns
- Go Conventions
- Bubble Tea Patterns
- Copilot SDK Integration
- Testing Guidelines
- Error Handling
- 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 │
└─────────────────────────────────────────────────────────────┘
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.
- 4d ago First seen · 945 lines · 4,849 tokens per session scan A 7338b14953c0
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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.