# genpark-statistical-zscore-iqr-anomaly-detector-skill

> genpark-statistical-zscore-iqr-anomaly-detector-skill — alpha-park-genpark-statistical-zscore-iqr-anomaly-detector-skill. Use this tool when you need to identify anomalies in numerical data streams, as it computes standard Z-score, modified median absolute deviation (MAD), and Tukey IQR fences to detect outliers. It solves problems related to data quality, fraud detection, and unusual pattern recognition, providing outputs that highlight potential anomalies. Input numerical data streams and receive anomaly scores as output, ideal for use in data preprocessing, monitoring, and real-time analytics contexts.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-statistical-zscore-iqr-anomaly-detector-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-statistical-zscore-iqr-anomaly-detector-skill

## Description

Multi-strategy anomaly detector computing standard Z-score, modified median absolute deviation (MAD), and Tukey IQR fences on numerical streams.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-statistical-zscore-iqr-anomaly-detector-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alpha-park-genpark-statistical-zscore-iqr-anomaly-detector-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-statistical-zscore-iqr-anomaly-detector-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-statistical-zscore-iqr-anomaly-detector-skill/pull`

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