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 commands/amdresearch/ai4science-studio/run-stormcastgit clone --depth 1 https://github.com/AMDResearch/ai4science-studioWrote 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/commands/amdresearch/ai4science-studio/run-stormcast)<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="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 5.1 | $0.00000 | $0.01549 |
| Opus 5 | $0.00000 | $0.00775 |
| Sonnet 5 | $0.00000 | $0.00310 |
| Haiku 4.5 | $0.00000 | $0.00155 |
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 5d 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 — 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,
--rocmflag 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
.siffiles
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.
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.
- 5d ago First seen · 150 lines · 0 tokens per session scan A b9ad97dea214
run-stormcast is a command published in the GitHub repository AMDResearch/ai4science-studio (4 stars, last pushed 1mo ago), 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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