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Drug Pronunciation

by @aipoch-ai

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

Versionv0.1.0
Downloads421
TERMINAL
clawhub install drug-pronunciation

πŸ“– About This Skill


name: drug-pronunciation description: Provides correct pronunciation guides for complex drug generic names. Generates phonetic transcriptions using IPA and audio generation markers for medical terminology. version: 1.0.0 category: Education tags:
  • pharmacology
  • pronunciation
  • medical-terminology
  • education
  • author: The King of Skills license: MIT status: Draft risk_level: Medium skill_type: Tool/Script owner: The King of Skills reviewer: '' last_updated: '2026-02-06'

    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

    | 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 β†’ Expected output 2. Edge Case: Invalid input β†’ Graceful error handling 3. Performance: Large dataset β†’ Acceptable processing time

    Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-06
  • Known Issues: None
  • Planned Improvements:
  • - Performance optimization - Additional feature support

    βš™οΈ Configuration

    # Python dependencies
    pip install -r requirements.txt