dipg-safety-env
CommunityTrain and evaluate AI agents for reliable medical safety in DIPG
Authorsurfiniaburger
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a safe training environment for AI agents to learn and demonstrate reliability in handling medical information related to Diffuse Intrinsic Pontine Glioma (DIPG).
Core Features & Use Cases
- Clinical Context-based Answers: Agents must base their responses on provided clinical context.
- Conflict Identification: Agents can detect and report conflicting information.
- Safe Abstention: Agents learn to abstain from answering when context is insufficient.
- Fact Avoidance: Agents avoid providing unsafe, unsupported information.
- Use Case: This could be used to evaluate AI agents' abilities to provide accurate, safe medical advice in a DIPG context.
Quick Start
Run the server and provide a medical context and question to the DIPG Safety Gym for an AI agent to process.
Dependency Matrix
Required Modules
openenvuv
Components
scriptsreferences
💻 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: dipg-safety-env Download link: https://github.com/surfiniaburger/med-safety-gym/archive/main.zip#dipg-safety-env Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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