Gpu Monitor

DevOps & Security

gpu-monitor

Gpu Monitor is an Agent Skill for devops & security published in the Xiangyue-Zhang/auto-deep-researcher-24x7 repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Check GPU status, running experiments, and available resources

View on GitHub ↗

QUICK START

How to use this skill

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Prompt to paste

Inspect the Agent Skill at https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/blob/HEAD/skills/gpu-monitor/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/gpu-monitor, but wait for my approval before writing files or running scripts.

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gpu-monitor

Quick GPU status check for experiment management.

Usage

Claude Code: /gpu-monitor
Claude Code: /gpu-monitor --server user@remote-host
Codex: $gpu-monitor

Behavior

Run nvidia-smi to get current GPU status
Display a clean summary table:
- GPU ID, Name, Memory (used/total), Utilization %, Temperature
- Running processes on each GPU
Identify which GPUs are free (< 1GB memory used)
Identify which GPUs are running experiments (check for python/torchrun processes)
If --server is provided, SSH to remote server first

Output Format

GPU Status
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 GPU  Name          Memory         Util  Temp
  0   L20X 144GB    45123/147456   98%   72°C  ← training (PID 12345)
  1   L20X 144GB      234/147456    0%   35°C  ← FREE
  2   L20X 144GB    43210/147456   95%   70°C  ← training (PID 12346)
  3   L20X 144GB     1024/147456   12%   40°C  ← keeper

Free GPUs: [1]
Training: GPU 0 (PID 12345), GPU 2 (PID 12346)