A checklist command for reviewing model entries in AI4Science Studio, a project that documents scientific AI models and their runnable examples. It checks folders, documentation, links, scripts, and setup conventions.

Use it to audit a model's README, Hugging Face reference, license, upstream links, recipes, Docker setup, and example scripts.

It finds missing files or information before others try to use a model. This prevents incomplete instructions and broken example runs from being discovered later.

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

Your own site

<a href="https://agentmods.dev/commands/amdresearch/ai4science-studio/check-model"><img src="https://agentmods.dev/badge/commands/amdresearch/ai4science-studio/check-model/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/check-model"><img src="https://agentmods.dev/badge/commands/amdresearch/ai4science-studio/check-model.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 769 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	$0.00769
Opus 5.5	$0.00000	$0.00308
Sonnet 5.5	$0.00000	$0.00154
Haiku 4.5	$0.00000	$0.00077

Measured 1mo ago against content hash cfe7cd152d4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

check-model 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.

.claude/commands/check-model.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review a model folder for completeness and convention compliance

Audit an existing model entry in AI4Science Studio and report any issues.

Checklist

Structure

Folder is under the correct domain (earth_science/, material_science/, protein_folding/, healthcare/, physics_simulation/)
python -m ai4s_validate check is clean for the model (or make check for the whole repo)
Slug follows the org__model naming rule, or is a public name with canonical HF id documented in README.md
README.md exists at <domain>/models/<slug>/README.md
recipes/ subfolder exists with at least one task subfolder, each containing its own README.md
examples/ directory exists with at least docker_run.sh and one run_*.sh/run_*.py

README.md content

Hugging Face model id present (or N/A with alternate weight source documented)
Task clearly described
License (SPDX id or link) present
Upstream code repo linked
Paper linked (if one exists)
If weights are not on HF: "Obtaining model weights" section with fetch snippet

examples/ scripts

docker_run.sh: auto-detects AMD Container Toolkit vs device passthrough; checks for existing container; auto-clones upstream repo if absent
run_*.sh / run_*.py: key params overridable via env vars; prints config summary; exits with clear error when required inputs are missing
preflight_<slug>.py: verifies GPU access and imports
sbatch_*_amd.sh: uses --rocm (not --nv) for AMD/Apptainer GPU passthrough; named _amd.sh not _mi300x.sh (covers MI250X/MI300X/MI350X with rocm7.2.x)
build_overlay_amd.sh (for HPC models with heavy pip deps): NFS staging pattern, exposes ROCM_WHL_TAG as the ROCm version knob; see earth-science SKILL.md for the NFS staging pattern
All scripts are chmod +x

Domain-specific

earth_science/: spatial/temporal resolution stated in relevant recipes
material_science/: input representations and unit conventions documented
protein_folding/: license restrictions surfaced; no clinical/diagnostic implications
healthcare/ (Healthcare & Life Sciences): research/engineering-only disclaimer present; no PHI; intended use and limitations from the model card included
physics_simulation/: physical domain stated; dataset format (HDF5, NetCDF) documented; HPC/multi-node requirements noted

Read the full file on GitHub · 51 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.

1mo ago Changed · +1 lines cfe7cd152d4d
2mo ago First seen · 50 lines · 0 tokens per session scan A 9c1935d07918

Subscribe to this mod's changes

check-model 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 769 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.

Code review ai-for-science amd drug-discovery earth-science fine-tuning healthcare

check-model next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
check-modelAMDResearch/ai4science-studio	Command	4	yesterday	MIT	A	0	Claude Code
reviewsmallcloudai/refact	Command	3.5k	5mo ago	BSD-3-Clause	A	9	Claude Code
gsd:code-reviewswisstruthorg/swiss-truth-mcp	Command	0	6mo ago	none	A	23	Claude Code
gsd:code-review-fixswisstruthorg/swiss-truth-mcp	Command	0	6mo ago	none	A	38	Claude Code
gsd:eval-reviewswisstruthorg/swiss-truth-mcp	Command	0	6mo ago	none	A	42	Claude Code
gsd:pr-branchswisstruthorg/swiss-truth-mcp	Command	0	6mo ago	none	A	24	Claude Code
gsd:shipswisstruthorg/swiss-truth-mcp	Command	0	6mo ago	none	A	18	Claude Code

ai4science-studio: Command for Claude Code