Can I customize the load thresholds for this skill?

Yes, you can define custom CPU and memory percentage thresholds (defaulting to 90%) using command-line arguments to suit your specific server configuration.

Is this skill suitable for 2-core 2GB RAM servers?

Absolutely. This skill is specifically optimized for low-configuration servers, suggesting lower thresholds (70-80%) and batch processing to ensure stability.

How do I integrate this into my automated tasks?

You can use the provided monitoring loop pattern which checks the load via a Python script and pauses execution if the 'status' returned is 'critical'.

How does it help prevent server downtime?

The skill monitors system metrics in real-time and provides a status code system (ok, warning, critical). When a critical threshold is hit, it triggers a cool-down period to let the system recover.

Does it identify which processes are causing the high load?

Yes, the script output includes 'top_processes' showing the user, command, and resource percentage of the most demanding active processes.

System Load Monitor

Name: System Load Monitor
Author: dvcrn

bydvcrn

•

分析与监控

Monitors CPU and memory usage to automatically regulate task execution and prevent server downtime on resource-constrained systems.

System Load Monitor is a specialized resource management skill designed to protect servers from crashing due to excessive load. It provides real-time tracking of CPU and RAM utilization, offering a safety mechanism that automatically suggests pausing resource-intensive tasks when predefined thresholds are reached. Ideal for developers working on low-configuration VPS or cloud instances, it ensures system stability by implementing intelligent cool-down periods and automated recovery checks, allowing long-running tasks to complete without manual intervention or hardware failure.

主要功能

013 GitHub stars

02Intelligent cool-down mechanism to allow system recovery after load spikes

03Real-time CPU and memory utilization tracking with customizable thresholds

04Automatic task regulation with 'Continue', 'Pause', and 'Retry' recommendations

05Process identification to highlight specific tasks consuming excessive resources

06Detailed JSON output for programmatic integration with automated workflows

使用场景

01Pre-execution health checks to ensure server stability before starting deployment

02Implementing automated load-aware loops for long-running data processing scripts

03Safeguarding low-resource servers (e.g., 2GB RAM) during heavy LLM or build tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace system-load-monitor

For use in Claude.ai and ChatGPT

主要功能

013 GitHub stars

02Intelligent cool-down mechanism to allow system recovery after load spikes

03Real-time CPU and memory utilization tracking with customizable thresholds

04Automatic task regulation with 'Continue', 'Pause', and 'Retry' recommendations

05Process identification to highlight specific tasks consuming excessive resources

06Detailed JSON output for programmatic integration with automated workflows

使用场景

01Pre-execution health checks to ensure server stability before starting deployment

02Implementing automated load-aware loops for long-running data processing scripts

03Safeguarding low-resource servers (e.g., 2GB RAM) during heavy LLM or build tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace system-load-monitor

For use in Claude.ai and ChatGPT