# genpark-agentic-hallucination-grounding-checker-skill

> genpark-agentic-hallucination-grounding-checker-skill — alphaparkinc-genpark-agentic-hallucination-grounding-checker-skill. Use this tool when you need to detect factual inaccuracies and hallucinations in generated text, particularly at the sentence level. It solves problems related to ensuring the reliability and trustworthiness of AI-generated content by identifying unsubstantiated claims. The tool takes in text inputs and outputs factual grounding and hallucination detection results, making it ideal for applications where verifiable information is crucial.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-agentic-hallucination-grounding-checker-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-agentic-hallucination-grounding-checker-skill

## Description

Sentence-level RAG factual grounding and hallucination detection engine

## 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-agentic-hallucination-grounding-checker-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-agentic-hallucination-grounding-checker-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-agentic-hallucination-grounding-checker-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-agentic-hallucination-grounding-checker-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