A documentation generator for a medical-imaging model and the dataset used to train it. A Model Card describes a model’s uses, limits, data, and performance; a Datasheet records how its dataset was collected and labelled.

Use it to prepare documentation for a code repository, model-sharing page, or paper supplement from facts you provide.

It prevents important documentation from being missing or filled with unsupported claims, numbers, or placeholders.

model-card — Skill for Claude Code by Aperivue

Install

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.

Any agent

npx skills add Aperivue/medsci-skills --skill model-card

Clone the repo

git clone --depth 1 https://github.com/Aperivue/medsci-skills

Made for: Claude Code.

Or install medsci-modeling, the plugin that ships this one along with the rest of its 12 skills.

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/skills/aperivue/medsci-skills/model-card/github.svg)](https://agentmods.dev/skills/aperivue/medsci-skills/model-card)

Your own site

<a href="https://agentmods.dev/skills/aperivue/medsci-skills/model-card"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/model-card/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/skills/aperivue/medsci-skills/model-card"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/model-card.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 133 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,354 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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	$0.00133	$0.01354
Opus 5	$0.00067	$0.00677
Sonnet 5	$0.00027	$0.00271
Haiku 4.5	$0.00013	$0.00135

Measured 10d ago against content hash 070b1ab8391a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

model-card 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 10d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/check_model_card_complete_challenge/verify.sh, scripts/check_model_card_complete.py, tests/test_model_card_complete.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/model-card/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Model-Card Skill

Purpose

This skill produces the documentation an engineer-built medical-imaging model must carry: a Model Card (intended use, out-of-scope use, training data, per-subgroup performance, caveats), a Datasheet for its dataset (provenance, composition, collection, labelling, consent), and a METRIC-informed data-quality pass. It fills the templates from facts the user supplies — it never invents a number, a provenance detail, a consent status, or a licence — and ships a deterministic gate that no required section is missing or left as an unfilled [NEEDS INPUT] placeholder.

It is the reporting seam of the model-engineering lane: after /model-validation audits the design and /model-evaluation produces the numbers, this skill records them in a portable, auditable card that /write-paper and /check-reporting consume. It mirrors /version-dataset structurally (generate + deterministic verify).

When to use

A trained model needs a Model Card / Datasheet for a repo, Hugging Face card, or manuscript supplement.

When NOT to use

Auditing the validation design / metrics → /model-validation, /model-evaluation.
Versioning the dataset bytes → /version-dataset; tabular variable docs → /generate-codebook.
Item-by-item reporting-guideline compliance of the manuscript → /check-reporting.
Building / training the model → /model-scaffold.

Workflow

Phase 1 — Collect the facts

Gather, from the user / the model's developers: task + architecture + provenance + licence; intended use and out-of-scope use; training and evaluation cohorts; the reference standard and inter-reader agreement; overall and per-subgroup performance; data collection, consent, and de-identification. Anything not supplied stays [NEEDS INPUT] — never guess.

Phase 2 — Fill the Model Card

Copy ${CLAUDE_SKILL_DIR}/references/model_card_template.md to MODEL_CARD.md and fill each section from the facts. Keep the headings. Numbers come only from /model-evaluation / executed results.

Read the full file on GitHub · 104 lines

Files

What ships with it

11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

10d ago First seen · 104 lines · 133 tokens per session scan A 070b1ab8391a

Subscribe to this mod's changes

model-card is a skill published in the GitHub repository Aperivue/medsci-skills (291 stars, last pushed 2d ago), licensed MIT. It adds 133 tokens to every session and 1,354 once invoked, about $0.0007 per session on Opus 5. 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 2026-08-30.

Claude Code Scientific Writing and docs biostatistics claude-skills clinical-research diagnostic-accuracy literature-review

clinical-trials-search

Search ClinicalTrials.gov with natural language queries. Find clinical trials, enrollment, and outcomes using Valyu semantic search.

beita6969/ScienceClaw · 28 tokens

shidi

A Chinese-language research assistant role that turns a user’s ideas into literature reviews, experiment plans, figures and organised data.

IcyCreamDAS/shidi-skill · 126 tokens

clinical-research

Use when designing a prospective clinical study before submission — selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging), estimating sample size and power for two-arm designs (means / proportions / survival), or scoring a study plan for feasibility and a GO /…

bestagentkits/agency-skills · 152 tokens

model-card