# CalledIT

> Use this tool when you need to assess human intuition against AI decision-making, solving problems related to critical thinking and judgment in a competitive game environment. CalledIT takes human input in the form of judgments and decisions, and outputs comparative results against AI bot counterparts. It's ideal for evaluating human-AI collaboration and decision-making strategies in a fun, interactive setting.

Canonical page: https://skillsregistry.net/skills/chesterguan-calledit-mcp  
JSON: https://api.skillsregistry.net/v1/skills/chesterguan-calledit-mcp

## Description

A judgment game played by Humans VS AI bots

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bl5hfjr17b)
- **Repository:** <https://github.com/Chesterguan/calledit-mcp>

## 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": "chesterguan-calledit-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chesterguan-calledit-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chesterguan-calledit-mcp/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