MC
Model Card
🔵 Stable🕐 updated 2026-06-24
🔷 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)
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 pm-claude-skills-mcpRelated 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 750 open-source professional AI agent skills — all SkillSpec L3.
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