Authoring Model Cards
Authoring Model Cards is an agent skill (a SKILL.md file) from maziyarpanahi/openmed. Generate a model card for an OpenMed clinical NER or de-identification model documenting intended use, quantitative metrics, subgroup performance, limitations, and a medical-device disclaimer for. It works with Claude Code, Codex and OpenCode and has 5,453 GitHub stars across a repository of 4 listed skills.
github.com/maziyarpanahi/openmed/skills/authoring-model-cards (opens in a new tab)
- Multi-skill repo
- Plugin marketplace
- Docs & writing
- Actively maintained
Add this skill
Claude
This repository is a Claude Code plugin marketplace. In Claude Code:
/plugin marketplace add maziyarpanahi/openmed
/plugin install openmed-skills@openmed-skillsIn the Claude apps, zip the authoring-model-cards folder and upload it under Customize > Skills > + > Upload a skill (code execution must be on).
ChatGPT / Codex
Codex reads skills from .agents/skills/ in a repo or ~/.agents/skills/ for every project:
git clone --depth 1 https://github.com/maziyarpanahi/openmed.git
cp -r openmed/skills/authoring-model-cards .agents/skills/authoring-model-cards # repo; ~/.agents/skills for all projectsStandalone skills also load in the ChatGPT desktop app.
Cursor
Cursor loads skills from .cursor/skills/ (or ~/.cursor/skills/) and also reads .claude/skills/:
git clone --depth 1 https://github.com/maziyarpanahi/openmed.git
cp -r openmed/skills/authoring-model-cards .cursor/skills/authoring-model-cards # project; ~/.cursor/skills for all projectsSource (checked Oct 7, 2026): code.claude.com/docs/en/skills (opens in a new tab), code.claude.com/docs/en/plugin-marketplaces (opens in a new tab), support.claude.com/en/articles/12512180-using-skills-in-claude (opens in a new tab), learn.chatgpt.com/docs/build-skills (opens in a new tab), cursor.com/docs/context/skills (opens in a new tab)
What this skill does
Generate a model card for an OpenMed clinical NER or de-identification model documenting intended use, quantitative metrics, subgroup performance, limitations, and a medical-device disclaimer for clinical AI governance. Use when the user wants to write or update a model card, a README model section, or governance documentation, or to turn OpenMed eval outputs (release gate report, fairnessreport, errorreport) into the card's metrics and limitations sections.
When it triggers
- use, quantitative metrics, subgroup performance, limitations, and a medical-device disclaimer for clinical AI governance.
- Use when the user wants to write or update a model card, a README model section, or governance documentation, or to turn OpenMed eval outputs (release gate report, fairnessreport, errorreport) into the card's metrics and limitations section
- Trigger on "model card", "intended use", "model documentation", "governance", "limitations section", "datasheet", or "FDA/ONC transparency" for an OpenMed model.
- "model card"
- "intended use"
- "model documentation"
- "governance"
- "limitations section"
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What is the Authoring Model Cards skill?
Authoring Model Cards is an agent skill (a SKILL.md file) from maziyarpanahi/openmed. Generate a model card for an OpenMed clinical NER or de-identification model documenting intended use, quantitative metrics, subgroup performance, limitations, and a medical-device disclaimer for. It works with Claude Code, Codex and OpenCode and has 5,453 GitHub stars across a repository of 4 listed skills. Its SKILL.md lives at github.com/maziyarpanahi/openmed/skills/authoring-model-cards.
How do I install the Authoring Model Cards skill?
In Claude Code, run /plugin marketplace add maziyarpanahi/openmed and then /plugin install openmed-skills@openmed-skills. For Codex or Cursor, copy the authoring-model-cards folder into .agents/skills/ or .cursor/skills/.
Is the Authoring Model Cards skill free?
Yes. The repository is open source under the Apache-2.0 license.
Is Authoring Model Cards maintained?
The repository's most recent commit was on Oct 3, 2026. Its latest release is v2.5.0. appsgit only lists skills from repositories with a commit in the last six months.