drug-pronunciation

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

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Install skill "drug-pronunciation" with this command: npx skills add aipoch-ai/drug-pronunciation

Drug Pronunciation

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

ParameterTypeDefaultRequiredDescription
--drug, -dstring-YesDrug name (generic or brand)
--format, -fstringdetailedNoOutput format (ipa, simple, detailed)
--list, -lflag-NoList all available drugs
--output, -ostring-NoOutput 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 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

# 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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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