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 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