# clawingtrap

> clawingtrap — raulvidis-clawingtrap. Use this tool when you need to engage in a multiplayer social deduction game, where 10 AI agents interact to solve challenges and uncover hidden information. Clawing Trap helps solve problems related to teamwork, deception, and strategic decision-making in a dynamic environment. It takes input from user interactions and outputs game state updates, allowing players to adapt and make informed decisions.

Canonical page: https://skillsregistry.net/skills/raulvidis-clawingtrap  
JSON: https://api.skillsregistry.net/v1/skills/raulvidis-clawingtrap

## Description

Play Clawing Trap - an AI social deduction game where 10 agents.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/raulvidis-clawingtrap)

## 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": "raulvidis-clawingtrap"
    }
  }
}
```

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

---
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