Agent skill
drug-pronunciation
Provides correct pronunciation guides for complex drug generic names. Generates phonetic transcriptions using IPA and audio generation markers for medical terminology.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/drug-pronunciation
SKILL.md
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
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- 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
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