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Gpu Check

GPU 状态检查 gpu_check

fainaltn0 source installs☆ 0 Repository stars

Installation

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Skill instructions

GPU 状态检查 (gpu_check)

实时获取局域网内分布式 AI 算力节点的显存占用情况。

功能

  • 自动轮询 3090 (192.168.2.236) 和 4090 (192.168.2.164) 的显存状态
  • 输出带进度条的 Markdown 表格
  • 监控各节点 API 服务在线情况

依赖

  • Node.js 环境(已内置)
  • axios 库(需安装)

安装

  1. 在技能目录安装依赖:
    cd ~/.openclaw/workspace/skills/gpu_check
    npm init -y
    npm install axios
    
  2. 确保 GPU 节点 API 已启动(需在 192.168.2.236 和 192.168.2.164 运行支持 /gpu 端点的服务)

使用

在聊天中发送:

  • /gpu
  • @机器人 显卡状态
  • 查看 GPU 占用

Source information

Source
github
Repository
openclaw/skills
Path
skills/fainaltn/gpu-check
Version
—
Commit
4a63b955f7ddd0a688fe304dd76d179971851ac5
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# GPU 状态检查 (gpu_check)

实时获取局域网内分布式 AI 算力节点的显存占用情况。

## 功能
* 自动轮询 3090 (192.168.2.236) 和 4090 (192.168.2.164) 的显存状态
* 输出带进度条的 Markdown 表格
* 监控各节点 API 服务在线情况

## 依赖
* Node.js 环境(已内置)
* axios 库(需安装)

## 安装
1. 在技能目录安装依赖:
   ```bash
   cd ~/.openclaw/workspace/skills/gpu_check
   npm init -y
   npm install axios
   ```
2. 确保 GPU 节点 API 已启动(需在 192.168.2.236 和 192.168.2.164 运行支持 `/gpu` 端点的服务)

## 使用
在聊天中发送:
- `/gpu`
- `@机器人 显卡状态`
- `查看 GPU 占用`

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