Monitor VPS operating system health and report on resource utilization.
npx skills add https://github.com/ariffazil/openclaw-workspace --skill os-health
Please help me install this Agent Skill. Skill: os-health Source: https://github.com/ariffazil/openclaw-workspace/tree/main/skills/os-health Command: npx skills add https://github.com/ariffazil/openclaw-workspace --skill os-health
This Skill provides a comprehensive overview of your Virtual Private Server's (VPS) health, helping you diagnose performance issues, monitor resource utilization, and ensure system stability.
Run the os-health skill to get a full health snapshot of the VPS.
High-intent search queries and answers about installing and using this skill.
To check VPS system health, you can run a diagnostic script that reports uptime, CPU load, RAM usage, and disk space utilization. This provides a comprehensive snapshot to help you monitor resource usage and pinpoint performance bottlenecks.
The best way to monitor disk space on a VPS is to run a system health diagnostic that detects overall disk usage and identifies large directories or Docker-related space hogs. This analysis helps you quickly locate and resolve storage bottlenecks.
Yes, you can test network speed and latency from your VPS by running a diagnostic health check. This measures download and upload speeds to key endpoints, providing a clear report of your server's network performance and latency.
To identify top CPU and memory-consuming processes on your server, run a system health diagnostic. It provides a snapshot of running processes and resource utilization, allowing you to pinpoint exactly which tasks are causing high CPU load or RAM usage.
Yes, VPS system monitoring includes basic auto-healing actions for low disk space. When disk space issues are detected during the diagnostic check, the Skill can automatically trigger actions to resolve the storage bottleneck and restart failed containers.
If your VPS is running slow, diagnose it by running a system health check to get a detailed report on resource usage, network speed, and running processes. This helps identify whether high CPU load, low RAM, or disk space limits are causing the bottleneck.
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