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Lay Summary Gen

这是一款医学摘要通俗化工具,核心功能为将专业医学摘要转换为6-8年级阅读水平的通俗内容,去除专业术语、提取关键要点,支持欧盟CTR合规。典型场景包括向患者、普通大众、媒体科普医学研究成果。输入需提供医学原文摘要,可指定目标受众、字数上限;输出为含通俗摘要、阅读水平等的结构化JSON,助力非专业群体理解专业医学信息。

ewankeynes
ewankeynes
热度 51.05
最近更新 2026-05-11 17:31:20
分类:效率依赖:代码执行 / 读写文件 / 内部调用大模型应用场景:摘要总结 / 健康

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add lay-summary-gen
Metadata
name
lay-summary-gen
description
Converts complex medical abstracts into plain language summaries for patients, caregivers, and the general public. Ensures readability while maintaining scientific accuracy.
version
1.0.0
category
General
tags
["patient-education","plain-language","health-literacy","communication"]
author
AIPOCH
license
MIT
status
Draft
risk_level
Medium
skill_type
Tool/Script
owner
AIPOCH
reviewer
last_updated
2026-02-06

Lay Summary Gen

Generates plain-language summaries of medical research for non-expert audiences.

Features

  • Complex to simple language conversion
  • Jargon elimination
  • Reading level optimization (Grade 6-8)
  • Key takeaways extraction
  • EU CTR compliance support

Input Parameters

Parameter Type Required Description
abstract str Yes Original medical abstract
target_audience str No "patients", "public", "media"
max_words int No Maximum word count (default: 250)

Output Format

{
  "lay_summary": "string",
  "reading_level": "string",
  "key_takeaways": ["string"],
  "word_count": "int",
  "jargon_replaced": [{"term": "plain"}]
}

Risk Assessment

Risk Indicator Assessment Level
Code Execution Python/R scripts executed locally Medium
Network Access No external API calls Low
File System Access Read input files, write output files Medium
Instruction Tampering Standard prompt guidelines Low
Data Exposure Output files saved to workspace Low

Security Checklist

  • No hardcoded credentials or API keys
  • No unauthorized file system access (../)
  • Output does not expose sensitive information
  • Prompt injection protections in place
  • Input file paths validated (no ../ traversal)
  • Output directory restricted to workspace
  • Script execution in sandboxed environment
  • Error messages sanitized (no stack traces exposed)
  • Dependencies audited

Prerequisites

No additional Python packages required.

Evaluation Criteria

Success Metrics

  • Successfully executes main functionality
  • Output meets quality standards
  • Handles edge cases gracefully
  • Performance is acceptable

Test Cases

  1. Basic Functionality: Standard input → Expected output
  2. Edge Case: Invalid input → Graceful error handling
  3. Performance: Large dataset → Acceptable processing time

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
    • Performance optimization
    • Additional feature support