Lay Summary Gen

v0.1.0

Converts complex medical abstracts into plain language summaries for patients, caregivers, and the general public. Ensures readability while maintaining scie...

0· 237· 1 versions· 0 current· 0 all-time· Updated 19h ago· MIT-0

Install

openclaw skills install lay-summary-gen

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

Version tags

latestvk9731nhyk6sfd188j95f240bxx82tkkb