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Gpu Check
GPU 状态检查 gpu_check
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install fainaltn/gpu-checkInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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
- 在技能目录安装依赖：
cd ~/.openclaw/workspace/skills/gpu_check npm init -y npm install axios - 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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