# 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.

- Skill: `agentskillexchange/run-agentic-anomaly-investigations-with-pyod` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/run-agentic-anomaly-investigations-with-pyod`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/run-agentic-anomaly-investigations-with-pyod/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/run-agentic-anomaly-investigations-with-pyod

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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:
- ^^^^^^^
- Core library (required for every activation path):
- .. code-block:: bash

- Source: https://github.com/yzhao062/pyod
- Extracted from upstream docs: https://raw.githubusercontent.com/yzhao062/pyod/HEAD/README.rst

## Documentation

- http://pyod.readthedocs.io

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/run-agentic-anomaly-investigations-with-pyod/)