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

This skill appears to do only what it claims: poll two local IPs for GPU memory usage. Before installing, verify the two IP addresses (192.168.2.236 and 192.168.2.164) are your intended GPU nodes. Note small inconsistencies (a Python implementation is included but not documented; package.json points to index.js which is missing). Run npm install only in a controlled environment (or inspect gpu_check.js/gpu_check.py yourself). If you don't use Python, you can ignore or remove gpu_check.py; if you don't want Node dependencies, avoid running npm install. If these nodes are unknown or unexpected on your network, do not install or run the skill.

Type: OpenClaw Skill Name: gpu-check Version: 1.0.0 The skill `gpu-check` is designed to monitor GPU memory usage on specific internal network nodes (192.168.2.236 and 192.168.2.164) as described in `SKILL.md`. Both `gpu_check.js` and `gpu_check.py` implement this functionality by making HTTP GET requests to these hardcoded private IP addresses. The installation instructions in `SKILL.md` involve standard `npm` commands (`npm init -y`, `npm install axios`) necessary for the Node.js version of the skill. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts to subvert the agent for harmful purposes. All observed behaviors align with the stated benign purpose.