Run agentic anomaly investigations with PyOD

Use PyOD's agent skill or MCP server to turn natural-language anomaly detection requests into repeatable detector selection, fitting, scoring, and investigation workflows.

agentskillexchange Updated 28 repo stars

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Run agentic anomaly investigations with PyOD

Use PyOD's agent skill or MCP server to turn natural-language anomaly detection requests into repeatable detector selection, fitting, scoring, and investigation workflows.

Prerequisites

Python, pip, PyOD, optional MCP-compatible client

Installation

Use the upstream install or setup path that matches your environment:

  • pip install pyod
  • pip install pyod[mcp]

Requirements and caveats from upstream:

  • Python Outlier Detection (PyOD) 3
  • PyOD 3 is the most comprehensive Python library for anomaly detection. Four pillars:
  • 2. Any MCP-compatible LLM — requires the optional mcp extra

Basic usage or getting-started notes:

Documentation

Source

agentskillexchange/skills/tree/main/skills/run-agentic-anomaly-investigations-with-pyod commit 965f9d169d

Frequently asked questions

npx skillmds@latest add agentskillexchange/run-agentic-anomaly-investigations-with-pyod