system-monitor-proReal-time OpenClaw system monitoring with beautiful terminal UI. CPU, memory, disk, GPU, Gateway, cron jobs, model quota, and multi-machine support. Works on...
Install via ClawdBot CLI:
clawdbot install dagangtj/system-monitor-proGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Accesses system directories or attempts privilege escalation
/proc/Audited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
DevOps teams can use this skill to monitor server health across multiple machines, including CPU, memory, and disk usage, with alert thresholds to prevent downtime. It supports remote monitoring via SSH, enabling centralized oversight of distributed systems like cloud servers or on-premise clusters. The formatted output provides quick status checks during deployments or incident response.
AI research labs can track GPU utilization and VRAM usage for machine learning workloads, ensuring efficient allocation of expensive hardware resources. The model quota tracking helps monitor API usage limits for AI models like Claude, preventing unexpected interruptions. This is useful for labs running multiple experiments on shared GPU servers.
Small businesses with limited IT staff can deploy this skill to monitor critical systems like gateways and cron jobs, providing a simple dashboard for daily health checks. The alert-only mode can notify administrators via integrations when thresholds are exceeded, reducing manual monitoring overhead. It works on common macOS and Linux systems used in small office environments.
Support teams at cloud providers can use the remote monitoring feature to quickly diagnose customer system issues without direct access, using SSH to check CPU, memory, and disk metrics. The JSON output option allows integration into ticketing systems for automated reporting. This aids in troubleshooting performance complaints or outage investigations.
Offer the basic monitoring skill for free to attract users, then charge for advanced features like historical data logging, custom alert integrations (e.g., Slack, email), or priority support. Revenue can come from monthly subscriptions for teams or enterprises needing enhanced monitoring capabilities. This model leverages the open-source nature to build a community while monetizing value-added services.
Sell enterprise licenses to companies requiring multi-machine monitoring across hundreds of servers, with added features like role-based access control, audit logs, and compliance reporting. Revenue is generated through annual contracts based on the number of monitored nodes or users. This targets industries like finance or healthcare with strict IT governance needs.
Provide consulting services to customize the skill for specific client environments, such as integrating with existing monitoring tools (e.g., Prometheus, Grafana) or developing plugins for unique hardware. Revenue comes from project-based fees or ongoing maintenance contracts. This model suits clients with complex infrastructure who need tailored solutions beyond the standard skill.
💬 Integration Tip
Integrate with heartbeat schedules for automated periodic checks, and use the JSON output option to feed data into external dashboards or alerting systems.
Scored Apr 19, 2026
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