Drug Pronunciation

Provides correct pronunciation guides for complex drug generic names. Generates phonetic transcriptions using IPA and audio generation markers for medical terminology.

Medical drug name pronunciation assistant with IPA phonetics and syllable breakdown.

Features

• IPA phonetic transcriptions
• Syllable-by-syllable breakdown
• Emphasis markers
• Audio generation markers (SSML-compatible)
• Coverage of 1000+ common medications

Parameters

Parameter	Type	Default	Required	Description
--drug, -d	string	-	Yes	Drug name (generic or brand)
--format, -f	string	detailed	No	Output format (ipa, simple, detailed)
--list, -l	flag	-	No	List all available drugs
--output, -o	string	-	No	Output JSON file path

Output Format

{
  "drug_name": "string",
  "ipa_transcription": "string",
  "syllable_breakdown": ["string"],
  "emphasis": "string",
  "audio_ssml": "string",
  "common_errors": ["string"]
}

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

# Python dependencies
pip install -r requirements.txt

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