What do I need to use Model Card?

Model name & version; What it does; Intended use & users; Training data; Evaluation; Known limitations & risks.

Is Model Card free to use?

Yes — run it free in the browser playground (no API key needed for the sponsored trial, or bring any provider key), or install it into Claude Code, Cursor, ChatGPT and more via npx pm-claude-skills. MIT-licensed and open source.

Model Card

Q: How do I know the Model Card output is good?

The skill verifies itself against its own quality checks: "Out of scope / do not use for" is filled in with specifics — not left blank; Evaluation is reported **by slice**, not just one global average that hides subgroup harm; Every metric states the baseline it's measured against; Limitations describe real, concrete failure situations (not "the model may be imperfect").

🔵 Stable🕐 updated 2026-10-06 🔷 SkillSpec L3 pm-ai

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.

📚 Based on Model Cards for Model Reporting (Mitchell et al., 2019)

▶ Run it free — no key needed 📝 Grade your existing draft ⬇ Add to Claude (works in Duet) 📱 Use as an app View SKILL.md ↗ What changed

🗣 Say this to your agent

“Write a model card.”“Document a model's intended use and limitations.”“Prepare an AI model for review/launch.”

What to give it

▸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.

✅ The bar it holds itself to

Every skill in this library self-verifies — these are this skill's own quality checks, straight from its definition.

✓"Out of scope / do not use for" is filled in with specifics — not left blank

✓Evaluation is reported **by slice**, not just one global average that hides subgroup harm

✓Every metric states the baseline it's measured against

✓Limitations describe real, concrete failure situations (not "the model may be imperfect")

✓A monitoring signal and an explicit rollback trigger are named

⚠️ What it refuses to do

Do not report a single aggregate metric and call evaluation done — averages mask the slices where a model fails worst

Do not leave "intended use" open-ended — an undefined boundary is an invitation to misuse

Do not omit known biases because they're uncomfortable — an undocumented risk is a worse liability than a documented one

Do not present accuracy without the class balance / base rate — 95% accuracy on a 95/5 split is meaningless

Do not ship without a monitoring plan — a model card without a rollback trigger is a snapshot, not a contract

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y -p pm-claude-skills pm-claude-skills-mcp

Related skills

🔌 Embed this skill

Drop this on your blog, docs, or site — it renders a "Run this skill" card:

<div data-pm-skill="model-card"></div>
<script src="https://mohitagw15856.github.io/pm-claude-skills/embed.js" async></script>

💬 Discussion

Model Card is one of 1326 open-source professional AI agent skills — all SkillSpec L3. Try them all in the browser · ⭐ Star on GitHub · Browse the full catalog