Agent Skills
› elisaterumi-ai/agent-skills-in-practice
› clinical-anonymization
clinical-anonymization
GitHub用于从临床文本中移除姓名、日期等敏感数据并替换为占位符，同时保留原始语义，适用于医疗健康领域的数据隐私保护场景。
Trigger Scenarios
需要脱敏的临床文本处理
医疗数据隐私合规需求
Install
npx skills add elisaterumi-ai/agent-skills-in-practice --skill clinical-anonymization -g -y
SKILL.md
Frontmatter
{
"name": "clinical-anonymization",
"description": "Removes sensitive data from clinical text while preserving meaning. Use for healthcare data."
}
Instructions
-
Identify sensitive data:
- Names
- Dates
- Locations
- IDs
-
Replace with placeholders:
- [NAME]
- [DATE]
- [LOCATION]
- [ID]
-
Preserve clinical meaning
Output Format
- Anonymized text
Version History
- 281cc81 Current 2026-07-24 16:49
