Borrowing it
Nothing to install: this file belongs to andremonaco/raum. 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/andremonaco/raum/main/AGENTS.mdgit clone --depth 1 https://github.com/andremonaco/raumWrote 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/andremonaco/raum/agents-md)<a href="https://agentmods.dev/instructions/andremonaco/raum/agents-md"><img src="https://agentmods.dev/badge/instructions/andremonaco/raum/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/andremonaco/raum/agents-md"><img src="https://agentmods.dev/badge/instructions/andremonaco/raum/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 | $0.02125 | $0.02125 |
| Opus 5.5 | $0.00850 | $0.00850 |
| Sonnet 5.5 | $0.00425 | $0.00425 |
| Haiku 4.5 | $0.00213 | $0.00213 |
Grade C, and why
raum AGENTS.md scanned grade C with 1 finding 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
months), `rm -rf target/<subdir>` freely — the subdirs are fully How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
What is raum?
raum is a lightning-fast, recoverable terminal orchestrator for AI agent harnesses (Claude Code, Codex, OpenCode). Every pseudo-terminal runs inside a tmux session (-L raum socket) so the app can crash-restart without killing agents. Built with Tauri v2 (Rust backend), Solid.js (frontend), and xterm.js (terminal renderer). Target platforms: macOS and Linux.
Tech Stack
| Layer | Technology |
|---|---|
| Desktop shell | Tauri v2 |
| Backend language | Rust (edition 2024, MSRV 1.85, stable) |
| Frontend framework | Solid.js + TypeScript (ES2022) |
| Frontend build | Vite + bun |
| Styling | Tailwind CSS + Kobalte UI primitives + CVA |
| Terminal renderer | xterm.js (100 000-line scrollback) |
| Code editor | CodeMirror v6 |
| Grid layout | custom BSP split-tree grid (frontend/src/components/terminal-grid/) |
| Async runtime | Tokio (full features) |
| File watching | notify (macOS kqueue) |
| Package manager | bun (frontend), Cargo workspace resolver v2 |
Repository Layout
crates/
raum-core/ # shared types, config model, AgentAdapter trait, state machine
raum-tmux/ # tmux session lifecycle, PTY output coalescer (4 ms quiet-gap / 16 ms max-hold / 128 KB flush)
raum-hydration/ # worktree creation, copy/symlink manifests, path-pattern grammar
raum-hooks/ # harness hook-script writer, Unix domain IPC socket server
src-tauri/
src/
lib.rs # Tauri setup + command registration
state.rs # AppHandleState (ConfigStore, adapters, …)
commands/ # Tauri IPC handlers: agent, config, files, hotkeys, layouts,
# notifications, project, search, terminal, worktree
frontend/
src/
app.tsx # root component, rehydrates runtime layout from TOML on launch
stores/ # Solid.js reactive stores (agent, project, terminal, worktree, layout)
components/ # UI tree: TopRow, Sidebar, TerminalGrid, TerminalPane, OnboardingWizard, …
lib/ # keymapContext, notificationCenter, helpers
docs/ # quickstart, config reference, harness integration, release process
.github/workflows/ # ci.yml (lint + test), release.yml (release-plz + notarization)
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 Changed · +23 tokens per session 65ac3c3534c1
- 2mo ago First seen · 146 lines · 2,102 tokens per session scan C 74d0713345bc
raum AGENTS.md is an instructions file published in the GitHub repository andremonaco/raum (5 stars, last pushed 1mo ago), licensed MIT. It adds 2,125 tokens to every session, about $0.0085 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
raum AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| raum AGENTS.mdandremonaco/raum | Instructions file | 5 | 1mo ago | MIT | C | 2,125 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |