# genpark-creator-audience-authenticity-anomaly-auditor-skill

> genpark-creator-audience-authenticity-anomaly-auditor-skill — alphaparkinc-genpark-creator-audience-authenticity-anomaly-auditor-skill. Use this tool when you need to detect and analyze authenticity anomalies in creator audiences, solving problems of fake followers and inflated engagement metrics. It audits audience data to identify suspicious patterns and inconsistencies, providing outputs such as anomaly reports and audience insights. Ideal for use cases involving influencer marketing, social media monitoring, and content creator evaluation.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-creator-audience-authenticity-anomaly-auditor-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-creator-audience-authenticity-anomaly-auditor-skill

## Description

Creator audience authenticity anomaly auditor (HypeAuditor / Modash)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## 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/alphaparkinc/genpark-creator-audience-authenticity-anomaly-auditor-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": "alphaparkinc-genpark-creator-audience-authenticity-anomaly-auditor-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-creator-audience-authenticity-anomaly-auditor-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-creator-audience-authenticity-anomaly-auditor-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt