Faq Generator

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name: faq-generator description: 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. version: 1.0.0 category: Info tags: [faq, policy, patient-education, protocol, medical-documents] author: AIPOCH license: MIT status: Draft risk_level: Medium skill_type: Tool/Script owner: AIPOCH reviewer: last_updated: 2026-02-06

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FAQ Generator

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

{
  "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