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Search Detection , found 10 results

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Anomaly Detector Assistant

anomaly-detector

jeremylongshore/claude-code-plugins-plus-skills

Auto-activating data analytics skill that guides anomaly detection tasks, covering SQL, visualization, statistical analysis, and business intelligence best practices.

Data Anomaly Detection

detecting-data-anomalies

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to apply anomaly-detection-system workflows for spotting outliers, fraud, or unusual patterns across datasets, selecting tailored algorithms like Isolation Forest and summarizing deviations for any data monitoring or security use case.

Aeon Time Series Toolkit

K-Dense-AI/claude-scientific-skills

Aeon is a scikit-learn compatible toolkit for classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, and feature engineering on temporal data.

Phylogenetic Tree Toolkit

K-Dense-AI/claude-scientific-skills

ETE Toolkit offers comprehensive phylogenetic tree manipulation, evolutionary event detection, taxonomy integration, and publication-grade visualization for phylogenomics workflows across research and clustering analyses.

Gtars Genomic Toolkit

K-Dense-AI/claude-scientific-skills

Gtars is a high-performance Rust toolkit with Python bindings for genomic interval analysis, covering overlap detection, coverage track generation, ML tokenization, fragment scoring, and reference sequence management for computational genomics workflows.

Automated Hypothesis Discovery

K-Dense-AI/claude-scientific-skills

Automates hypothesis generation and testing on tabular datasets by blending LLM-driven data insights with literature synthesis, enabling researchers to explore patterns, validate competing claims, and surface non-redundant ideas across domains like deception detection or content analysis.

PyOpenMS Mass Spectrometry

K-Dense-AI/claude-scientific-skills

PyOpenMS exposes OpenMS via Python to cover end-to-end proteomics and metabolomics workflows, including file I/O, signal processing, feature detection, identification, quantitation, and integration with pandas/visualization stacks.

Industrial Control Anomaly Detection

detecting-anomalies-in-industrial-control-systems

mukul975/Anthropic-Cybersecurity-Skills

Deploys ML-trained baselines across SCADA, Modbus, DNP3, and OPC UA communications in OT networks, correlating historian data to flag rogue devices and anomalous behavior.

UEBA Insider Threat Detection

detecting-insider-threat-with-ueba

mukul975/Anthropic-Cybersecurity-Skills

Leverages Elasticsearch/OpenSearch to implement UEBA baselines from auth, file, and network logs, compute peer-group z-score anomaly risk, and correlate deviations into insider-threat alerts that feed SOC investigation workflows.

Run ML Experiments

wanshuiyin/Auto-claude-code-research-in-sleep

Deploys and launches ML experiments across local GPUs, remote SSH servers, or Vast.ai instances, handling environment detection, GPU checks, code sync, W&B logging, and launch verification.

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