home/categories/architecture-patterns/anton-abyzov-specweave-plugins-specweave-ml-skills-anomaly-detector-skill-md
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anomaly-detector

Anomaly and outlier detection using Isolation Forest, One-Class SVM, autoencoders, and statistical methods. Activates for "anomaly detection", "outlier detection", "fraud detection", "intrusion detection", "abnormal behavior", "unusual patterns", "detect anomalies", "system monitoring". Handles supervised and unsupervised anomaly detection with SpecWeave increment integration.

anton-abyzov
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anton-abyzov
Updated 1/20/2026
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quick start

Installation and usage

Anomaly and outlier detection using Isolation Forest, One-Class SVM, autoencoders, and statistical methods. Activates for "anomaly detection", "outlier detection", "fraud detection", "intrusion detection", "abnormal behavior", "unusual patterns", "detect anomalies", "system monitoring". Handles supervised and unsupervised anomaly detection with SpecWeave increment integration.

Installation
$ install --globalskills.sh
Usage

Once installed, you can use this skill by running the following command in your terminal:

skills use anomaly-detector