mx-diagease

Community

Streamline GPU diagnostics and monitoring for AI hardware.

Authordongg622
Version1.0.0
Installs0

System Documentation

What problem does it solve?

The Skill simplifies the process of diagnosing and monitoring AI GPU devices, saving time and reducing errors during hardware troubleshooting.

Core Features & Use Cases

  • Device Diagnostics: Perform comprehensive PCIe, memory, and power diagnostics on GPU hardware.
  • Real-Time Monitoring: Continuously track GPU temperature, power, and link status during operation.
  • Use Case: An FAE needs to quickly identify hardware issues such as PCIe bottlenecks or thermal faults on AI clusters using automated scripts.
  • Automated Testing: Run stress tests and validate device stability under load.

Quick Start

Launch the diagnostic tool with sudo to list connected GPU devices and perform health checks directly from the command line.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 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: mx-diagease
Download link: https://github.com/dongg622/china-ai-chip-skill/archive/main.zip#mx-diagease

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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