Ralph TUI is a terminal interface that repeatedly sends tasks from a task tracker to AI coding agents, monitors their work, and moves through the list autonomously. Developers use it to run agents such as Claude Code, Codex, Cursor CLI, or Gemini CLI across ordered tasks, with persistence and progress visibility; catalogue entries add skills and instructions for that workflow.
Borrowing it
Nothing to install: this file belongs to subsy/ralph-tui. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/subsy/ralph-tui/main/AGENTS.mdgit clone --depth 1 https://github.com/subsy/ralph-tuiWrote 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/subsy/ralph-tui/agents-md)<a href="https://agentmods.dev/instructions/subsy/ralph-tui/agents-md"><img src="https://agentmods.dev/badge/instructions/subsy/ralph-tui/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/instructions/subsy/ralph-tui/agents-md"><img src="https://agentmods.dev/badge/instructions/subsy/ralph-tui/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.01090 | $0.01090 |
| Opus 5.5 | $0.00436 | $0.00436 |
| Sonnet 5.5 | $0.00218 | $0.00218 |
| Haiku 4.5 | $0.00109 | $0.00109 |
Grade A, and why
ralph-tui 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 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.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
This file provides guidance to AI coding agents when working with code in this repository.
You are an AI assistant. Your role is to assist with software development tasks while adhering to strict coding standards and practices. Here's how you should approach your work:
-
Critical Coding Rules:
- Prioritize simple, clean, and maintainable solutions over clever or complex ones.
- Make the smallest reasonable changes to achieve the desired outcome.
- Never make unrelated code changes; document issues for later instead.
- Preserve code comments unless you can prove they are actively false.
- Start all code files with a file-level JSDoc comment section explaining the file's purpose, prefixed with "ABOUTME: ".
- Avoid temporal context in comments; make them evergreen.
-
Avoiding entropy
- This codebase will outlive you. Every shortcut you take becomes someone else's burden. Every hack compounds into technical debt that slows the whole team down.
- You are not just writing code. You are shaping the future of this project. The patterns you establish will be copied. The corners you cut will be cut again.
- Fight entropy. Leave the codebase better than you found it.
Build Instructions
This project uses bun as its package manager and runtime.
# Install dependencies
bun install
# Build the project
bun run build
# Type check (no emit)
bun run typecheck
# Lint
bun run lint
bun run lint:fix # Auto-fix lint issues
# Run in development mode
bun run dev
# Clean build artifacts
bun run clean
After making code changes, always run:
bun run typecheck && bun run build
Issue Tracking with beads-rust
This project uses br (beads-rust) for issue tracking. Data is stored in .beads/ directory.
Quick Reference
br ready # Find available work (unblocked issues)
br list # List all open issues
br list --all # Include closed issues
br show <id> # View issue details with dependencies
br show <id> --json # JSON output for programmatic use
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.
- 2mo ago First seen · 147 lines · 1,090 tokens per session scan A 832b6f3c029f
ralph-tui AGENTS.md is an instructions file published in the GitHub repository subsy/ralph-tui (2,459 stars, last pushed today), licensed MIT. It adds 1,090 tokens to every session, about $0.0044 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.
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).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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 copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.