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

> genpark-statistical-anomaly-zscore-detector-skill — alpha-park-genpark-statistical-anomaly-zscore-detector-skill. Use this tool when you need to detect statistical anomalies and outliers in multi-dimensional data. It solves problems related to identifying unusual patterns and data points that deviate from the norm, taking in datasets as input and outputting flagged anomalies. Ideal for use cases involving data quality control, fraud detection, and predictive modeling, where accurate identification of outliers is crucial.

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

## Description

Multi-dimensional anomaly and IQR outlier detector (Hex / Julius AI)

## 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:** 2026-09-22

## Source

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

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

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