Can I test Kubernetes features with this skill?

Yes, it includes full k3d cluster lifecycle tests, including GPU support, node health, and internal network connectivity to other services.

Does it support multiple GPU vendors?

Yes, the test suite is designed to detect NVIDIA, AMD, and Intel GPUs to ensure the correct drivers and configurations are present.

Will running these tests affect my existing configurations?

No, the pod and cluster tests utilize isolated instances (defaulting to instance 90) to ensure your primary development environment remains untouched.

What should I do if the CUDA test fails?

The skill provides troubleshooting steps such as regenerating the CDI specification or checking host-level driver status using nvidia-smi.

How do I quickly check if my GPU is working in Overthink?

You can use the 'ujust test quick' or 'ujust test gpu' commands to immediately verify driver detection and CDI configuration.

Overthink Runtime Verification

Name: Overthink Runtime Verification
Author: atrawog

byatrawog

0•

Security & Testing

Validates Overthink OS installations by testing GPU access, service health, and container lifecycles.

The Overthink Runtime Verification skill provides a comprehensive testing suite for Overthink OS environments, ensuring that critical components like NVIDIA GPUs, CUDA, and PyTorch are correctly configured and accessible. It allows developers to perform quick health checks or exhaustive system validations, covering everything from individual service connectivity to complex k3d cluster lifecycles and network routing. This tool is essential for troubleshooting installation issues, verifying hardware acceleration, and ensuring environment stability after updates or reboots.

Key Features

01Isolated instance testing to prevent user configuration interference

02Comprehensive service health monitoring for Ollama, Jupyter, and ComfyUI

03Integrated network connectivity and registry access diagnostics

04Full lifecycle testing for Pods and k3d Kubernetes clusters

05Automated GPU, CUDA, and PyTorch hardware acceleration validation

060 GitHub stars

Use Cases

01Validating Kubernetes (k3d) cluster functionality and cross-pod networking

02Verifying a fresh Overthink OS installation and GPU driver compatibility

03Troubleshooting service connectivity or container health after system updates

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add atrawog/overthink-plugins test

For use in Claude.ai and ChatGPT

Download Skill