Agent skill
medical-translation
Precise translation of medical terminology, supporting multi-language medical term translation
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/medical-translation
SKILL.md
Medical Translation - Precise Medical Terminology Translation
Description
Focuses on precise translation of medical terminology (such as Chinese-English translation, Spanish-English translation), rather than general translation. Ensures accurate communication of medical concepts across different languages.
Usage
Provide medical terms or paragraphs, specify source and target languages, and obtain professional-grade medical translation.
Parameters
- term: Medical term or text to be translated
- source_lang: Source language (e.g., Chinese, English)
- target_lang: Target language (e.g., English, Chinese)
- context: Optional, provide context for more accurate translation
Example
Input:
- term: "Acute Myeloid Leukemia"
- source_lang: English
- target_lang: Chinese
Output: "急性髓系白血病 (AML)"
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
No additional Python packages required.
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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