A command for finding the machine-learning models available in an AI4Science Studio repository. It reads the repository’s model catalogue and can filter the results.

Use it to list all models or find models for a particular scientific field, task, licence, hardware type, or model-hosting availability.

It avoids searching through model folders manually and makes it easier to compare models by field, task, licence, downloadable weights, or supported hardware.

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

Your own site

<a href="https://agentmods.dev/commands/amdresearch/ai4science-studio/list-models"><img src="https://agentmods.dev/badge/commands/amdresearch/ai4science-studio/list-models/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/list-models"><img src="https://agentmods.dev/badge/commands/amdresearch/ai4science-studio/list-models.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 315 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	$0.00315
Opus 5.5	$0.00000	$0.00126
Sonnet 5.5	$0.00000	$0.00063
Haiku 4.5	$0.00000	$0.00032

Measured 1mo ago against content hash 1b37f9fc9314, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

list-models 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/list-models.md · 38 lines

What it actually says

List and filter models in AI4Science Studio

Discover what models are available in this repository.

How to respond

Read models.yaml at the repo root (generated; do not edit by hand).
Parse the YAML and present the models in a table. Use summary for the one-line task column (task is the longer manifest description).
If the user provided filter criteria (in $ARGUMENTS), apply them.

Default output (no filter)

Present ALL models in a table:

Model	Domain	HF id	License	Tasks	Path
...	...	...	...	...	...

Filter examples

By domain: "earth_science" → show only earth_science models
By task: "finetune" → show only models with finetune in tasks_available
By license: "MIT" → show only MIT-licensed models
By HF availability: "has HF weights" → filter where hf_id != N/A
By hardware: read individual model.yaml files and filter by validated_hardware

Deep dive

If the user names a specific model, read its model.yaml and present:

Full metadata (HF id, license, upstream code, paper)
Available recipes with descriptions
Environment variables with defaults
Container image and validated hardware

Arguments

$ARGUMENTS

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 1b37f9fc9314
2mo ago First seen · 38 lines · 0 tokens per session scan A d0132b1969e8

Subscribe to this mod's changes

list-models 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 315 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 ai-for-science amd drug-discovery earth-science fine-tuning healthcare

list-models next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
list-modelsAMDResearch/ai4science-studio	Command	4	yesterday	MIT	A	0	Claude Code
ml-projectmxslr/mlcraft	Command	8	4mo ago	MIT	A	52	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
convergegithub/spec-kit	Command	148k	yesterday	MIT	A	35	Claude Code

ai4science-studio: Command for Claude Code