Can this skill be used for real-time monitoring?

Yes, it can be integrated with alerting systems and data pipelines to notify users whenever an anomaly or deviation from the norm is detected.

What types of anomalies can this skill detect?

It can identify various irregularities, including financial fraud, network intrusions, system performance spikes, and manufacturing defects.

How does the Anomaly Detection System choose an algorithm?

The skill analyzes the characteristics of your dataset and selects the most appropriate model, such as Isolation Forest or One-Class SVM, to ensure accurate outlier detection.

Do I need to clean my data before using this skill?

While the skill provides guidance on preprocessing, it is best practice to ensure your data is properly formatted and scaled for the most accurate results.

Anomaly Detection System

Name: Anomaly Detection System
Author: jeremylongshore

byjeremylongshore

•

884

Data Science & ML

Identifies statistical outliers and data irregularities using machine learning algorithms to uncover fraud, security threats, or system errors.

About

This skill integrates advanced anomaly detection capabilities directly into Claude Code, allowing users to automatically identify outliers within complex datasets. By leveraging machine learning models like Isolation Forest and One-Class SVM, it automates the process of data analysis to highlight significant deviations from expected patterns. Whether you are analyzing financial transactions for fraud, monitoring network traffic for security breaches, or auditing sensor data for manufacturing defects, this skill provides actionable insights by pinpointing data irregularities that might otherwise go unnoticed.

Key Features

Fraudulent transaction and pattern identification
884 GitHub stars
Network security threat detection via traffic analysis
Adjustable threshold tuning for sensitivity management
Automated ML algorithm selection including Isolation Forest and One-Class SVM
Intelligent data preprocessing and scaling guidance

Use Cases

Identifying unusual network traffic patterns to prevent security breaches
Detecting fraudulent activity in financial or e-commerce datasets
Finding manufacturing defects through production line sensor data analysis

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills anomaly-detection-system

For use in Claude.ai and ChatGPT

Download Skill

GitHub