Borrowing it
Nothing to install: this file belongs to rubenmarcus/ralph-starter. 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/rubenmarcus/ralph-starter/main/AGENTS.mdgit clone --depth 1 https://github.com/rubenmarcus/ralph-starterWrote 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/rubenmarcus/ralph-starter/agents-md)<a href="https://agentmods.dev/instructions/rubenmarcus/ralph-starter/agents-md"><img src="https://agentmods.dev/badge/instructions/rubenmarcus/ralph-starter/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/rubenmarcus/ralph-starter/agents-md"><img src="https://agentmods.dev/badge/instructions/rubenmarcus/ralph-starter/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 | $0.00878 | $0.00878 |
| Opus 5.5 | $0.00351 | $0.00351 |
| Sonnet 5.5 | $0.00176 | $0.00176 |
| Haiku 4.5 | $0.00088 | $0.00088 |
Grade A, and why
ralph-starter 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.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Configuration for AI coding agents working on ralph-starter.
Project Overview
ralph-starter is a CLI tool for running autonomous AI coding loops. It connects to external sources (GitHub, Linear, Notion, Figma) and orchestrates AI coding agents to build software autonomously.
Tech Stack: TypeScript, Node.js 20+, pnpm
Validation Commands
Run after each change:
pnpm build # TypeScript compilation
pnpm lint # ESLint checks
pnpm test # Run tests
pnpm typecheck # Type checking only
Project Structure
src/
├── cli.ts # CLI entry point
├── commands/ # Command implementations
│ ├── run.ts # Main run command
│ ├── init.ts # Project initialization
│ ├── plan.ts # Implementation planning
│ └── ...
├── integrations/ # Source integrations
│ ├── base.ts # Base integration interface
│ ├── github/ # GitHub issues, PRs
│ ├── linear/ # Linear tickets
│ ├── notion/ # Notion pages
│ └── figma/ # Figma designs
├── loop/ # Core loop execution
│ ├── executor.ts # Main loop runner (900+ lines)
│ ├── agents.ts # Agent detection/invocation
│ ├── validation.ts # Backpressure validation
│ ├── circuit-breaker.ts
│ ├── cost-tracker.ts
│ └── ...
├── llm/ # LLM provider abstraction
│ ├── providers.ts # Anthropic, OpenAI, OpenRouter
│ └── api.ts # Unified LLM API
├── automation/ # Git operations
│ └── git.ts # Branch, commit, PR
├── config/ # Configuration
│ └── manager.ts # Config file handling
└── mcp/ # MCP server
Supported Agents
ralph-starter works with these coding agents:
- Claude Code (recommended)
- Cursor
- OpenCode
- OpenAI Codex
- GitHub Copilot
- Gemini CLI
- Amp
- Openclaw
Supported Integrations
- GitHub (gh CLI or API token)
- Linear (API key)
- Notion (API token)
- Figma (API token)
- URLs (public)
- Local files
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.
- 1mo ago First seen · 122 lines · 878 tokens per session scan A 0ad49133dc0b
ralph-starter AGENTS.md is an instructions file published in the GitHub repository rubenmarcus/ralph-starter (107 stars, last pushed 4d ago), licensed MIT. It adds 878 tokens to every session, about $0.0035 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.
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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.