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.
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.
curl -O https://raw.githubusercontent.com/NVIDIA/nvalchemi-toolkit/main/AGENTS.mdgit clone --depth 1 https://github.com/NVIDIA/nvalchemi-toolkitWrote 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/nvidia/nvalchemi-toolkit/agents-md)<a href="https://agentmods.dev/instructions/nvidia/nvalchemi-toolkit/agents-md"><img src="https://agentmods.dev/badge/instructions/nvidia/nvalchemi-toolkit/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/nvidia/nvalchemi-toolkit/agents-md"><img src="https://agentmods.dev/badge/instructions/nvidia/nvalchemi-toolkit/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 | $0.02845 | $0.02845 |
| Opus 5.5 | $0.01138 | $0.01138 |
| Sonnet 5.5 | $0.00569 | $0.00569 |
| Haiku 4.5 | $0.00284 | $0.00284 |
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.
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. SeeCONTRIBUTING.mdfor 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-smiis missing or reports no usable device, use defaultuvcommands without CUDA extras where possible. - If it reports CUDA 12.x, pass
--extra cu12touvcommands andCUDA_EXTRA=cu12tomaketargets. - If it reports CUDA 13.x,
cu13is the default Makefile extra; explicit commands can still use--extra cu13orCUDA_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
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 · +1 lines · +29 tokens per session 579ea3a13d3a
- 1mo ago Changed · +1 lines · +30 tokens per session b9526c0438f8
- 1mo ago Changed · +3 lines · +46 tokens per session 4f8049e3fa3f
- 2mo ago First seen · 233 lines · 2,740 tokens per session scan A 66db104387be
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.
nvalchemi-toolkit AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| nvalchemi-toolkit AGENTS.mdNVIDIA/nvalchemi-toolkit | Instructions file | 204 | yesterday | Apache-2.0 | A | 2,845 | 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 | today | 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 |