Faq Generator

Generates FAQ lists from complex medical policies or protocols. Trigger when user provides medical documents, policies, or protocols and requests FAQ generation, patient education materials, or simplified explanations.

Creates FAQ lists from medical documents.

Features

• Automatic Q&A generation
• Policy interpretation
• Patient-friendly language
• Structured formatting

Parameters

Parameter	Type	Default	Required	Description
--input, -i	string	-	Yes	Source document file path
--audience, -a	string	general	No	Target audience (patients, researchers, general)
--output, -o	string	stdout	No	Output file path
--format, -f	string	json	No	Output format (json, markdown, text)

Output Format

json

{
  "faqs": [{"question": "", "answer": ""}],
  "topic": "string"
}

Risk Assessment

Risk Indicator	Assessment	Level
Code Execution	No scripts included	Low
Network Access	No external API calls	Low
File System Access	Read-only within workspace	Low
Instruction Tampering	Standard prompt guidelines	Low
Data Exposure	Input/output within session	Low

Security Checklist

• No hardcoded credentials or API keys
• No unauthorized file system access (../)
• No network requests to external services
• Output does not expose sensitive information
• Prompt injection protections in place

Evaluation Criteria

Success Metrics

• FAQ accurately represents source document content
• Language is appropriate for specified audience (patients/researchers)
• Questions cover key points of the document
• Answers are clear, concise, and medically accurate
• Format follows structured JSON schema

Test Cases

1. Basic FAQ Generation: Input simple medical protocol → Output valid FAQ list
2. Audience Adaptation: Same input with different audiences → Appropriate tone shift
3. Complex Document: Input lengthy policy document → Comprehensive FAQ coverage
4. Edge Case: Input ambiguous content → Handles gracefully with clarifying questions

Lifecycle Status

• Current Stage: Draft
• Next Review Date: 2026-03-06
• Known Issues: None
• Planned Improvements:
  • Add support for multi-language output
  • Enhance medical terminology handling