Predicts CPU spikes using Random Forest regressor, monitors system resources, saves metrics, and generates Excel reports.

This skill appears internally consistent with a local monitoring/prediction tool, but review these before installing: 1) The script collects process names and resource usage and stores them locally (monitoring.db) — this can reveal running application names and should only be run on hosts you control. 2) Requirements install pandas, scikit-learn, psutil and openpyxl via pip; install these packages from trusted indexes and consider running in a virtualenv. 3) The bundle includes install.yaml (with an npm-like install_path) even though the registry lists no install spec — confirm your platform won't execute that file unexpectedly. 4) The provided file listing is truncated in the prompt; if possible, inspect the complete monitoring.py for any network calls or hidden behavior before granting runtime. 5) Run the skill in an isolated environment first (or on a non-production host) if you have any doubt.

Type: OpenClaw Skill Name: event-monitor Version: 1.0.4 The skill bundle is a legitimate system monitoring tool that uses psutil to collect process metrics, stores them in a local SQLite database (monitoring.db), and uses scikit-learn for CPU usage prediction. The code in monitoring.py and the instructions in SKILL.md are consistent with the stated purpose, and there are no signs of data exfiltration, malicious execution, or prompt injection.