# Groundcheck

> Use this tool when you need to verify factual claims and ensure the accuracy of information. Groundcheck solves the problem of uncertainty and misinformation by checking claims against live sources, providing a verdict, confidence score, and citations as output. It is ideal for use in applications where reliability and trustworthiness of information are crucial, such as research, reporting, and decision-making.

Canonical page: https://skillsregistry.net/skills/beepboop2025-groundcheck  
JSON: https://api.skillsregistry.net/v1/skills/beepboop2025-groundcheck

## Description

Verifies factual claims against live sources and returns a verdict, confidence score, and citations for any agent to use before stating uncertain facts.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/luutoiheo0)
- **Repository:** <https://github.com/beepboop2025/groundcheck>

## 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": "beepboop2025-groundcheck"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/beepboop2025-groundcheck` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/beepboop2025-groundcheck/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
