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Deidentify A Dataset

Deidentify A Dataset is an agent skill (a SKILL.md file) from maziyarpanahi/openmed. De-identify selected free-text columns in a local CSV, JSONL, or Parquet dataset with OpenMed and produce a separate redacted dataset plus a PHI-free aggregate summary. 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/deidentify-a-dataset (opens in a new tab)

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-skills

In the Claude apps, zip the deidentify-a-dataset 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/deidentify-a-dataset .agents/skills/deidentify-a-dataset   # repo; ~/.agents/skills for all projects

Standalone 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/deidentify-a-dataset .cursor/skills/deidentify-a-dataset   # project; ~/.cursor/skills for all projects

Source (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

De-identify selected free-text columns in a local CSV, JSONL, or Parquet dataset with OpenMed and produce a separate redacted dataset plus a PHI-free aggregate summary. Use when an agent must prepare a clinical dataset for analysis or sharing without overwriting the source or exposing cell values in logs. Keep the source local, name the free-text columns explicitly, and write to a different destination. Never infer columns or print source and redacted cell values.

When it triggers

  • Use when an agent must prepare a clinical dataset for analysis or sharing without overwriting the source or exposing cell values in logs.

More skills in maziyarpanahi/openmed

4 skills are listed from this repository.

FAQ

Deidentify A Dataset FAQ

Still curious? Email info@appsgit.com.

What is the Deidentify A Dataset skill?

Deidentify A Dataset is an agent skill (a SKILL.md file) from maziyarpanahi/openmed. De-identify selected free-text columns in a local CSV, JSONL, or Parquet dataset with OpenMed and produce a separate redacted dataset plus a PHI-free aggregate summary. 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/deidentify-a-dataset.

How do I install the Deidentify A Dataset skill?

In Claude Code, run /plugin marketplace add maziyarpanahi/openmed and then /plugin install openmed-skills@openmed-skills. For Codex or Cursor, copy the deidentify-a-dataset folder into .agents/skills/ or .cursor/skills/.

Is the Deidentify A Dataset skill free?

Yes. The repository is open source under the Apache-2.0 license.

Is Deidentify A Dataset 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.