AReaL AGENTS.md

AReaL AGENTS.md is an instructions file for Codex, OpenCode from areal-project/AReaL. It costs 2,812 tokens per session, scanned A, original, Apache-2.0.

A project guide for AReaL, a Python and PyTorch system for running and training AI models. It explains the development environment, commands, tests, formatting checks, and documentation build process.

In plain words
What is it for?
Use it when setting up AReaL, running tests, checking formatting, generating CLI documentation, or building the docs.
Why use it?
It gives coding agents the project’s rules and standard commands, reducing guesswork when changing the codebase.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/areal-project/areal/agents-md
Clone the repo
git clone --depth 1 https://github.com/areal-project/AReaL

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for AReaL AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/areal-project/areal/agents-md.svg)](https://agentmods.dev/instructions/areal-project/areal/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/areal-project/areal/agents-md"><img src="https://agentmods.dev/badge/instructions/areal-project/areal/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,812 This file is loaded in full into every session.
When invoked 2,812 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.02812 $0.02812
Opus 5 $0.01406 $0.01406
Sonnet 5 $0.00562 $0.00562
Haiku 4.5 $0.00281 $0.00281

Measured 4d ago against content hash 6b91da3c8360, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

AReaL 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.

AGENTS.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md -- AReaL Agent Operations Guide

Quick reference

Tech stack: Python 3.12+ | PyTorch | FSDP2 / Megatron / Archon | SGLang / vLLM

# Environment
uv sync --extra cuda            # CUDA + SGLang inference (default); for vLLM: cp pyproject.vllm.toml pyproject.toml && cp uv.vllm.lock uv.lock && uv sync --extra cuda
uv sync --extra sandbox         # Daytona cloud sandbox backend (optional)
source .venv/bin/activate        # activate venv BEFORE pre-commit or git commit if venv exists
pre-commit install --install-hooks  # hooks: Ruff, clang-format, mdformat, nbstripout, conventional-commits
pre-commit run --all-files       # lint + format everything

# Tests
uv run pytest tests/test_<topic>.py

# CLI docs
uv run python docs/generate_cli_docs.py

# Docs build (canonical, release-aligned)
./docs/build_all.sh
# Do NOT use `jupyter-book build docs/en|docs/zh` directly for final preview/release,
# because it skips AReaL-specific static setup and output packaging.

Hard rules -- never violate:

  • No wildcard imports (from x import *).
  • No hardcoded secrets, paths, or endpoints.
  • No skipping pre-commit hooks.
  • No guessing cluster configs or rebuilding CUDA/driver stacks.
  • Integration tests require multi-node hardware -- explain skips explicitly.

Always do:

  • Read relevant files before modifying code.
  • Run pre-commit run --all-files before committing.
  • Follow existing code patterns in the same module.
  • Add tests for new functionality.
  • Ask for decisions and clarifications with short, structured options instead of broad open-ended questions. Use the platform's native question/clarification tool if available.

Ask first before:

  • Modifying config structures in areal/api/cli_args.py.
  • Adding new dependencies.
  • Changing launcher or scheduler logic.
  • Deleting or renaming public APIs.

When unsure, leave a TODO(agent) comment and note the constraint in your response.

Read the full file on GitHub · 261 lines

Changes

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.

  1. 4d ago First seen · 261 lines · 2,812 tokens per session scan A 6b91da3c8360

Subscribe to this mod's changes

AReaL AGENTS.md is an instructions file published in the GitHub repository areal-project/AReaL (5,717 stars, last pushed today), licensed Apache-2.0. It adds 2,812 tokens to every session, about $0.0141 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.

Related

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