nvalchemi-toolkit: Instructions file for Codex

AGENTS.md

nvalchemi-toolkit AGENTS.md is an instructions file for Codex, OpenCode from NVIDIA/nvalchemi-toolkit. It costs 2,845 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for NVIDIA Alchemi Toolkit, a Python framework for GPU-based atomic simulation and machine-learned materials workflows. They cover Python, CUDA, dependencies, testing, and contribution practices.

In plain words
What is it for?
Use it when developing simulations, atomic-data pipelines, model wrappers, training workflows, CUDA-related code, or pull requests.
Why use it?
They make the required development environment and repository checks clear, reducing setup errors and changes that fail project review.

Instructions file for CodexOpenCode ✓ vendor

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions AGENTS.md.

This is NVIDIA/nvalchemi-toolkit's own configuration. It tells Codex and OpenCode how to work on nvalchemi-toolkit itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything nvalchemi-toolkit configures →

About the project

ALCHEMI Toolkit is a Python framework that uses GPUs to run atomic simulations and train machine-learned models for chemistry and materials science. Researchers and developers use it for molecular dynamics, geometry relaxation, and model training across one or multiple GPUs. Its catalogue add-ons guide coding agents in using the toolkit’s APIs and repository conventions.

NVIDIA/nvalchemi-toolkit · 204 stars · on GitHub · nvidia.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to NVIDIA/nvalchemi-toolkit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/NVIDIA/nvalchemi-toolkit/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/NVIDIA/nvalchemi-toolkit

Made for: Codex, OpenCode.

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Per session 2,845 This file is loaded in full into every session.
When invoked 2,845 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.02845 $0.02845
Opus 5.5 $0.01138 $0.01138
Sonnet 5.5 $0.00569 $0.00569
Haiku 4.5 $0.00284 $0.00284

Measured 1mo ago against content hash 579ea3a13d3a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nvalchemi-toolkit 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.

AGENTS.md · 238 lines

How it starts

The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - NVIDIA ALCHEMI Toolkit

Guidelines for AI coding agents operating in this repository.

Project Overview

nvalchemi-toolkit provides the nvalchemi Python package: a GPU-first framework for AI atomic simulation workflows. It covers graph-structured atomic data, model wrappers for machine-learned interatomic potentials, batched dynamics, hooks/reporting, and training/finetuning workflows.

  • Python support: >=3.11,<3.14; CI and setup examples use Python 3.12.
  • Package manager: uv; build backend: hatchling.
  • Core dependencies: PyTorch, Pydantic v2, jaxtyping, TensorDict, Zarr, Rich, PhysicsNeMo, and nvalchemi-toolkit-ops.
  • The project is in public beta. Public PRs may not be accepted immediately, but bug reports, feature requests, and scoped implementation discussions are welcome.

Repository Practices

  • Commits need DCO sign-off and Conventional Commits-style messages: git commit -s -m "fix: describe change". Pre-commit hooks are required; PRs that skip them are not expected to be reviewed. See CONTRIBUTING.md for DCO details, hook setup, and CI stages.
  • The PR template expects a short description, testing notes, changelog updates, docstring/docs updates where applicable, and the relevant type-of-change box.
  • Keep work tightly scoped; read docs/userguide/about/ before broad changes.

CUDA And Environment Setup

First check CUDA availability:

nvidia-smi
  • If nvidia-smi is missing or reports no usable device, use default uv commands without CUDA extras where possible.
  • If it reports CUDA 12.x, pass --extra cu12 to uv commands and CUDA_EXTRA=cu12 to make targets.
  • If it reports CUDA 13.x, cu13 is the default Makefile extra; explicit commands can still use --extra cu13 or CUDA_EXTRA=cu13.
  • Do not use uv sync --all-extras: the CUDA variants and some model extras are mutually exclusive.

Common setup commands:

# Default development environment; Makefile currently defaults CUDA_EXTRA=cu13.
make install

# CUDA 12 development environment.
make install CUDA_EXTRA=cu12

# Add CUDA-aligned optional extras, for example MACE.
make install CUDA_EXTRA=cu12 OPTIONAL_EXTRAS=mace

# Direct uv equivalents.
uv sync --extra cu13
uv sync --extra cu12 --extra mace

# Include documentation dependencies when needed.
uv sync --extra cu13 --group docs

Read the full file on GitHub · 238 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. 1mo ago Changed · +1 lines · +29 tokens per session 579ea3a13d3a
  2. 1mo ago Changed · +1 lines · +30 tokens per session b9526c0438f8
  3. 1mo ago Changed · +3 lines · +46 tokens per session 4f8049e3fa3f
  4. 2mo ago First seen · 233 lines · 2,740 tokens per session scan A 66db104387be

Subscribe to this mod's changes

nvalchemi-toolkit AGENTS.md is an instructions file published in the GitHub repository NVIDIA/nvalchemi-toolkit (204 stars, last pushed yesterday), licensed Apache-2.0. It adds 2,845 tokens to every session, about $0.0114 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.

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