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Drug Pronunciation

该 Skill 提供本地命令行脚本,输入药物通用名或品牌名后输出 IPA 音标、逐音节拆分、重音标记、SSML 音频标记与常见误读提示,支持 ipa/simple/detailed 三种格式、药物列表查询以及导出 JSON 文件,运行过程不调用外部网络服务。

aipoch-ai
aipoch-ai
热度 80.31
最近更新 2026-05-11 17:33:46
分类:知识依赖:代码执行 / 读写文件应用场景:语言学习 / 教学辅导 / 概念解释 / 健康

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add drug-pronunciation
Metadata
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 → 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