model-card
Document a deployed ML/AI model so others can use it responsibly. Use when asked to write a model card, document a model's intended use and limitations, or prepare an AI model for review/launch. Produces a complete model card — intended use, training data, evaluation metrics across slices, limitations, ethical considerations, and a deployment checklist.
npx skills add majiayu000/claude-skill-registry --skill model-card --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Model Card Skill A model card is the README for a model: what it does, what it was trained and evaluated on, where it works, and — most importantly — where it doesn't. It turns an opaque artifact into something a reviewer, a downstream team, or a regulator can actually assess. Write it *before* launch, not after. ## Required Inputs Ask for these only if they aren't already provided: - **Model name & version**, owner team, and date. - **What it does** — task type (classification, generation, ranking, extraction…) and the decision it informs. - **Intended use & users** — the supported use cases, and explicitly the out-of-scope ones. - **Training data** — sources, size, time range, and known gaps (link a [`dataset-datasheet`](../dataset-datasheet/SKILL.md) if one exists). - **Evaluation** — datasets, metrics, and results, ideally **broken down by subgroup/slice**. - **Known limitations & risks** — failure modes, bias findings, safety concerns. ## Output Format ### Model Card: [name] v[version] **Owner:** [team] · **Date:** [date] · **Status:** [in review / production / deprecated] **1. Overview** — one paragraph: what the model does, the decision it serves, and who uses it. **2. Int
- Required Inputs
- Output Format
- Model Card: [name] v[version]
- Quality Checks
- Anti-Patterns
- Based On
What does the model-card skill do?
Document a deployed ML/AI model so others can use it responsibly. Use when asked to write a model card, document a model's intended use and limitations, or prepare an AI model for review/launch. Produces a complete model card — intended use, training data, evaluation metrics across slices, limitations, ethical considerations, and a deployment checklist.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill model-card --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.