Borrowing it
Nothing to install: this file belongs to Cranot/roam-code. 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/Cranot/roam-code/main/AGENTS.mdgit clone --depth 1 https://github.com/Cranot/roam-codeWrote 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/cranot/roam-code/agents-md)<a href="https://agentmods.dev/instructions/cranot/roam-code/agents-md"><img src="https://agentmods.dev/badge/instructions/cranot/roam-code/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/cranot/roam-code/agents-md"><img src="https://agentmods.dev/badge/instructions/cranot/roam-code/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 | $0.14965 | $0.14965 |
| Opus 5.5 | $0.05986 | $0.05986 |
| Sonnet 5.5 | $0.02993 | $0.02993 |
| Haiku 4.5 | $0.01496 | $0.01496 |
Grade A, and why
roam-code 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 6d 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 — 875 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — roam-code development guide
What this project is
roam-code is a local codebase intelligence CLI for developers and AI coding agents.
It pre-indexes symbols, call graphs, dependencies, architecture, and git history into
a local SQLite DB. 288 commands · 259 MCP tools (17 in the default core preset) · 28 languages · local analysis · zero API keys.
Authoritative counts (AST-derived, env-independent): command_count: 288 · canonical_count: 281 · category_count: 7 · mcp tools registered: 259 · mcp tools in core preset: 17. The roam surface --json envelope additionally exposes mcp_tool_count_by_preset for per-preset counts.
Package: roam-code on PyPI. Entry point: roam.cli:cli.
Documentation Hub
- Orientation (read once before anything else): docs/understanding-roam.md — what roam is, why it is mechanical and agent-first, what has been measured, how we speak, and how to gate on its output.
- Dogfood corpus (read for quality lessons):
internal/dogfood/— 212-eval corpus + 6 systemic-pattern synthesis. Single most important reference for understanding what good roam-command behavior looks like. Start withinternal/dogfood/README.md. (Private — gitignored; not shipped to PyPI/GitHub.) - Getting started tutorial:
templates/distribution/landing-page/docs/getting-started.html - Command reference with examples:
templates/distribution/landing-page/docs/command-reference.html - Architecture guide and diagram:
templates/distribution/landing-page/docs/architecture.html - Detector evidence and limitations: docs/concepts/detector-evidence.md — static graph coverage, language context, confidence semantics, and command-scope differences.
- Live URL: https://roam-code.com/docs/
Where files go (private vs public)
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.
- 6d ago Changed dcf32beb63a5
- 14d ago Changed d0cf960cb763
- 1mo ago Changed · +2 lines · +17 tokens per session 3933c188d437
- 1mo ago Changed · +1 lines · +58 tokens per session 46adea68f8b2
- 1mo ago Changed · +20 lines · +274 tokens per session 7b47175aba69
- 1mo ago Changed · +18 lines · +374 tokens per session cab1e670f40d
- 1mo ago First seen · 834 lines · 14,242 tokens per session scan A 383e4153dc7c
roam-code AGENTS.md is an instructions file published in the GitHub repository Cranot/roam-code (517 stars, last pushed 2d ago), licensed Apache-2.0. It adds 14,965 tokens to every session, about $0.0599 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.
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.
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).