# Clinical Anonymization

> Removes sensitive data from clinical text while preserving meaning. Use for healthcare data.

- Skill: `gabrielmoreira/clinical-anonymization` (Agent Skill)
- Install (CLI): `npx skillmds@latest add gabrielmoreira/clinical-anonymization`
- Raw SKILL.md: https://api.skillmd.com/api/skills/gabrielmoreira/clinical-anonymization/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: gabrielmoreira (https://skillmd.com/u/gabrielmoreira)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/gabrielmoreira/clinical-anonymization

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## Instructions

1. Identify sensitive data:
   - Names
   - Dates
   - Locations
   - IDs

2. Replace with placeholders:
   - [NAME]
   - [DATE]
   - [LOCATION]
   - [ID]

3. Preserve clinical meaning

## Output Format

- Anonymized text