system-monitor-pro

What This Skill Does

System Monitor Pro is a comprehensive observability tool for your OpenClaw environment, designed to provide real-time performance insights directly within your chat interface. By executing local Node.js scripts, it aggregates metrics from various system layers, including CPU load, memory utilization, disk space, and NVIDIA GPU statistics. The skill translates raw system data into a visually intuitive terminal-style dashboard, making it effortless to identify bottlenecks or critical system health issues without switching windows. It excels in both single-machine environments and distributed setups, allowing you to manage multiple remote servers via SSH connections seamlessly.

Installation

To integrate this monitoring solution, execute the following command in your terminal: clawhub install openclaw/skills/skills/dagangtj/system-monitor-pro. Ensure your environment satisfies the requirements, specifically Node.js 18+ and a Unix-based operating system (macOS or Linux). If you plan to monitor remote infrastructure, verify that SSH key-based authentication is configured between your host and the target machines. For detailed hardware stats, ensure nvidia-smi is installed on your GPU-enabled nodes.

Use Cases

This skill is perfect for infrastructure management, development environment oversight, and automated health reporting. Use it to verify server uptime, ensure your background cron jobs are functioning, and monitor model usage quotas so your services don't face unexpected interruptions. It is particularly useful for DevOps-focused users who need to check the health of remote GPU clusters or ensure local system resources are not being exhausted during heavy AI model training tasks.

Example Prompts

• "What is the current status of my workstation?"
• "Run a health check on the production remote server."
• "Show me the dashboard for my GPU and memory usage."

Tips & Limitations

To maximize the utility of this skill, integrate it into your HEARTBEAT.md file using the --alert-only flag to receive proactive notifications instead of manually querying the system. Be aware that remote monitoring relies heavily on stable SSH connectivity and proper network configuration. While the dashboard output is beautiful, if you are building an automated pipeline, consider using the --json flag to pipe raw data into other monitoring tools or logging services. Avoid running the check too frequently on remote machines to minimize SSH overhead.