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.
npx agentmods add instructions/areal-project/areal/agents-mdgit clone --depth 1 https://github.com/areal-project/AReaLWrote 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/areal-project/areal/agents-md)<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>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 | $0.02812 | $0.02812 |
| Opus 5 | $0.01406 | $0.01406 |
| Sonnet 5 | $0.00562 | $0.00562 |
| Haiku 4.5 | $0.00281 | $0.00281 |
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.
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-filesbefore 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.
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.
- 4d ago First seen · 261 lines · 2,812 tokens per session scan A 6b91da3c8360
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.
Other instructions, from other repositories
baba-is-auto AGENTS.md
AGENTS.md instructions for utilForever/baba-is-auto, covering agents.md, what this repository is, golden rules (read before any change), the most common task: changing simulator behavior and repository map.
tensorlake AGENTS.md
AGENTS.md instructions for tensorlakeai/tensorlake, a project described as: Tensorlake is a serverless runtime for sandboxes and deploying background agentic applications.
tensorlake CLAUDE.md
Claude Code instructions for tensorlakeai/tensorlake, covering claude.md, project overview, common commands, install dependencies and build and format code (black + isort).
RosettaStone AGENTS.md
AGENTS.md instructions for utilForever/RosettaStone, covering agents.md, what this repository is, golden rules (read before any change), common task flow and hearthstone model.
AGI-Alpha-Agent-v0 AGENTS.md
META‑AGENTIC α‑AGI 👁️✨ — Mission 🎯 End‑to‑end: Identify 🔍 → Out‑Learn 📚 → Out‑Think 🧠 → Out‑Design 🎨 → Out‑Strategise ♟️ → Out‑Execute ⚡.
ai-dial-core CLAUDE.md
Claude Code instructions for epam/ai-dial-core, covering claude.md, build & run, set credentials via environment variables, build (skip tests) and run all tests.