Healthcare AI Evaluation
CommunityEnsure safe and accurate health AI evaluations.
AuthorMFD3000
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides specialized guidance and rubrics for evaluating AI systems that handle sensitive health information, ensuring safety, accuracy, and appropriate clinical interpretation.
Core Features & Use Cases
- Safety-First Framework: Prioritizes safety over helpfulness in healthcare AI evaluations.
- Domain-Specific Rubrics: Offers detailed scoring criteria for clinical correctness, faithfulness, and urgency.
- Use Case: When evaluating a new AI chatbot designed to interpret lab results, use this Skill to define strict safety gates, clinical accuracy metrics, and interpret the evaluation scores within a medical context.
Quick Start
Use the healthcare AI evaluation skill to define safety criteria for a medical chatbot.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Healthcare AI Evaluation Download link: https://github.com/MFD3000/agent-eval-pipeline/archive/main.zip#healthcare-ai-evaluation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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