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数据分析 中文

Monitoring Skill

Predicts CPU spikes using Random Forest regressor, monitors system resources, saves metrics, and generates Excel reports.
利用随机森林回归器预测CPU峰值,监控系统资源,保存指标并生成Excel报告。
ningtoba
数据分析 clawhub v1.0.4 2 版本 100000 Key: 无需
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概述

Predictive Monitoring Skill

This skill monitors system resources and predicts future CPU spikes based on past data.

Commands

/collect-metrics

Triggers a collection of the top 10 CPU and Memory consuming processes.

The results are saved to a local SQLite database monitoring.db.

/predict-usage

Analyzes collected CPU metrics, trains a Random Forest model, and predicts CPU behavior for the next 24 hours. High CPU usage alerts (Amber, Red) are saved to the Alert table.

/generate-report

Generates an Excel report of the latest captured metrics.

Instructions for Agent

To collect metrics (without prediction), run python {baseDir}/monitoring.py.

To collect metrics and run predictive analysis, run python {baseDir}/monitoring.py --predict.

To verify the database, look for monitoring.db in the skill directory.

版本历史

共 2 个版本

  • v1.0.4 当前
    2026-03-29 16:37 安全 安全
  • v1.0.2
    2026-03-26 21:58

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

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