A guided runner for ORBIT-2, a scientific machine-learning model, on an AMD cluster using SLURM, a system that schedules jobs on shared computers.

Launching ORBIT-2 inference or visualization with Apptainer or Docker, including single- or multi-GPU setups where supported by the selected runtime.

It walks through container, source-code, cluster, and execution choices so the run can be configured for the available environment.

How AMDResearch/ai4science-studio configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to AMDResearch/ai4science-studio. 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/AMDResearch/ai4science-studio/main/.claude/commands/run-orbit2.md

Clone the repo

git clone --depth 1 https://github.com/AMDResearch/ai4science-studio

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/amdresearch/ai4science-studio/run-orbit2/github.svg)](https://agentmods.dev/commands/amdresearch/ai4science-studio/run-orbit2)

Your own site

<a href="https://agentmods.dev/commands/amdresearch/ai4science-studio/run-orbit2"><img src="https://agentmods.dev/badge/commands/amdresearch/ai4science-studio/run-orbit2/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/amdresearch/ai4science-studio/run-orbit2"><img src="https://agentmods.dev/badge/commands/amdresearch/ai4science-studio/run-orbit2.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 2,131 The whole file, excluding the scripts and references it only reads on demand.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.02131
Opus 5.5	$0.00000	$0.00852
Sonnet 5.5	$0.00000	$0.00426
Haiku 4.5	$0.00000	$0.00213

Measured 2mo ago against content hash 02003e87d781, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

run-orbit2 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 2mo 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.

.claude/commands/run-orbit2.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Run ORBIT-2 inference/visualization on an AMD cluster

Guide the user through running ORBIT-2 end-to-end on an AMD cluster via SLURM.

Step 0 — Cluster config check

Check if .cluster-config.yaml (repo root) or ~/.config/ai4science-studio/cluster.yaml exists. If neither exists, run the /init-cluster flow first. If a config exists, read it and pre-fill container runtime and SLURM partition/account from saved values.

Step 1 — Questionnaire (ask ALL questions before doing anything)

Ask the user the following questions. Do not assume any defaults. Wait for answers to all questions before proceeding.

Q0. Container runtime Which container runtime do you want to use?

Apptainer (recommended for HPC — supports overlays, srun --mpi=pmix for multi-GPU, --rocm flag)
Docker (simpler setup, no overlay needed, uses torchrun for multi-GPU instead of srun, single-node only)

Q1. Upstream repo Do you have the ORBIT-2 upstream code cloned locally?

Yes — provide the full path (ORBIT2_ROOT)
No — I will generate the clone command
Auto-discover — I will search the filesystem for an existing ORBIT-2 clone

Q2. (Apptainer only) SIF path Do you have an Apptainer SIF built from rocm/pytorch:rocm7.2.2_ubuntu24.04_py3.12_pytorch_release_2.10.0?

Yes — provide the full path
No — I will generate the pull command
Auto-discover — I will search the filesystem for existing ROCm PyTorch .sif files

Q3. (Apptainer only) Overlay Do you have a pre-built ORBIT-2 overlay image (orbit2-overlay.img)?

Yes — provide the full path
No, build one — one-time ~15 min job that skips dep install on every future run
No, skip overlay — pay the ~15 min install cost per job
Auto-discover — I will search the filesystem for an existing overlay image

Q4. Data mode Which data mode do you want to use?

Synthetic — generates a small ~2 MB dataset automatically, downloads the smallest checkpoint from HuggingFace. No real data needed. Use this for a smoke-test.
Real data — requires ERA5/PRISM data staged on the cluster. You will need to provide the config YAML path and checkpoint path.

Read the full file on GitHub · 176 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.

2mo ago First seen · 176 lines · 0 tokens per session scan A 02003e87d781

Subscribe to this mod's changes

run-orbit2 is a command published in the GitHub repository AMDResearch/ai4science-studio (4 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,131 tokens. 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 2026-08-31.

Data and AI Scientific ai-for-science amd drug-discovery earth-science fine-tuning healthcare

run-orbit2 next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
run-orbit2AMDResearch/ai4science-studio	Command	4	yesterday	MIT	A	0	Claude Code
ml-projectmxslr/mlcraft	Command	8	4mo ago	MIT	A	52	Claude Code
by:approve-lab001TMF/blatant-why	Command	119	22d ago	MIT	A	21	Claude Code
checklistgithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
clarifygithub/spec-kit	Command	148k	yesterday	MIT	A	27	Claude Code
specifygithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
analyzegithub/spec-kit	Command	148k	yesterday	MIT	A	26	Claude Code

ai4science-studio: Command for Claude Code