← 返回
内容创作 中文

Lay Summary Gen

Converts complex medical abstracts into plain language summaries for patients, caregivers, and the general public. Ensures readability while maintaining scie...
将复杂医学摘要转化为面向患者、照护者及大众的通俗语言摘要,在保持科学性的同时确保可读性。
ewankeynes
内容创作 clawhub v0.1.0 1 版本 100000 Key: 无需
★ 0
Stars
📥 536
下载
💾 39
安装
1
版本
#latest

概述

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

ParameterTypeRequiredDescription
----------------------------------------
abstractstrYesOriginal medical abstract
target_audiencestrNo"patients", "public", "media"
max_wordsintNoMaximum 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 IndicatorAssessmentLevel
-----------------------------------
Code ExecutionPython/R scripts executed locallyMedium
Network AccessNo external API callsLow
File System AccessRead input files, write output filesMedium
Instruction TamperingStandard prompt guidelinesLow
Data ExposureOutput files saved to workspaceLow

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

版本历史

共 1 个版本

  • v0.1.0 当前
    2026-03-30 04:45 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

content-creation

AdMapix

fly0pants
广告情报与应用数据分析助手,支持搜索广告素材、分析应用排名、下载量、收入及市场洞察,用于广告素材和竞品分析。
★ 295 📥 136,517
content-creation

Baidu Wenku AIPPT

ide-rea
使用百度文库 AI 智能生成 PPT,自动根据内容选择模板。
★ 66 📥 46,224
developer-tools

Code Refactor For Reproducibility

ewankeynes
用于重构发表级研究代码、为现有分析脚本添加文档、创建可复现的计算工作流,或准备...
★ 0 📥 574