What is run-stormcast?

A guided command for running StormCast, a weather-prediction model, on AMD GPUs in a cluster managed by SLURM, a system that schedules computing jobs.

Use it to prepare and run deterministic StormCast inference with Apptainer or Docker through SLURM.

It helps organize the cluster checks, setup questions, container choice, and job submission needed for an end-to-end run.

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-stormcast.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-stormcast/github.svg)](https://agentmods.dev/commands/amdresearch/ai4science-studio/run-stormcast)

Your own site

<a href="https://agentmods.dev/commands/amdresearch/ai4science-studio/run-stormcast"><img src="https://agentmods.dev/badge/commands/amdresearch/ai4science-studio/run-stormcast/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-stormcast"><img src="https://agentmods.dev/badge/commands/amdresearch/ai4science-studio/run-stormcast.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 1,549 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	$0.01549
Opus 5.5	$0.00000	$0.00620
Sonnet 5.5	$0.00000	$0.00310
Haiku 4.5	$0.00000	$0.00155

Measured 2mo ago against content hash b9ad97dea214, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

run-stormcast 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-stormcast.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Run StormCast deterministic inference on an AMD cluster

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

Step 0 — Cluster config check

Before starting, check if .cluster-config.yaml (repo root) or ~/.config/ai4science-studio/cluster.yaml exists. If neither exists, run the /init-cluster flow first to auto-discover the cluster environment.

If a config exists, read it and pre-fill Q0 (runtime), Q6 (partition/account) from the saved values. Still present them to the user for confirmation but show the saved defaults.

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, --rocm flag for GPU)
Docker (simpler setup, no overlay needed, but env vars must be appended not replaced)

Q1. (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

Q2. (Apptainer only) Overlay Do you have a pre-built StormCast overlay image (stormcast-overlay.img)?

Yes — provide the full path
No, build one — one-time ~10 min job that skips a ~5 min pip install on every future run
No, skip overlay — pay the install cost per job
Auto-discover — I will search the filesystem for an existing StormCast overlay image

Q3. Forecast start time What start time do you want to use for the forecast? (ISO-8601 format, e.g. 2025-01-01T06)

Q4. Number of steps How many 1-hour forecast steps do you want to run?

Q5. Output path Where do you want the output zarr written? (full path, e.g. /path/to/output/pred.zarr) Note: any existing zarr at this path will be removed before the run.

Read the full file on GitHub · 150 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 · 150 lines · 0 tokens per session scan A b9ad97dea214

Subscribe to this mod's changes

run-stormcast 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 1,549 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.

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run-stormcast next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
run-stormcastAMDResearch/ai4science-studio	Command	4	yesterday	MIT	A	0	Claude Code
by:campaign-auto001TMF/blatant-why	Command	119	22d ago	MIT	A	19	Claude Code
by:load001TMF/blatant-why	Command	119	22d ago	MIT	A	13	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

ai4science-studio: Command for Claude Code