Skills drug-pronunciation

Provides correct pronunciation guides for complex drug generic names.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/aipoch-ai/drug-pronunciation" ~/.claude/skills/clawdbot-skills-drug-pronunciation && rm -rf "$T"

manifest: skills/aipoch-ai/drug-pronunciation/SKILL.md

source content

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