clinical-anonymization

SkillAI & models

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

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the clinical-anonymization skill

What this skill tells your AI

The instructions your AI receives, as published by elisaterumi-ai/agent-skills-in-practice in examples/clinical-anonymization/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
133
Forks
33
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
clinical-anonymization
Source
github.com/elisaterumi-ai/agent-skills-in-practice