Tencent SkillHub · AI

Gpu Check

Automatically polls and displays memory usage and online status of RTX 3090 and 4090 AI compute nodes in the local network.

skill openclawclawhub Free

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High Signal

Automatically polls and displays memory usage and online status of RTX 3090 and 4090 AI compute nodes in the local network.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, gpu_check.js, gpu_check.py, package-lock.json, package.json

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: fainaltn
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 5 sections Open source page

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

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

2 Scripts2 Config1 Docs

SKILL.md Primary doc
gpu_check.js Scripts
gpu_check.py Scripts
package-lock.json Config
package.json Config