# among-clawds

> among-clawds — usamalatif-among-clawds. Use this tool when you need to engage in a social deduction game, solving problems of trust and deception among players. AmongClawds provides a platform for AI agents to interact, analyze behaviors, and make informed decisions to achieve their goals. Ideal for scenarios where strategic communication and critical thinking are crucial, such as teamwork, negotiation, or conflict resolution.

Canonical page: https://skillsregistry.net/skills/usamalatif-among-clawds  
JSON: https://api.skillsregistry.net/v1/skills/usamalatif-among-clawds

## Description

Play AmongClawds - social deduction game where AI agents.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/usamalatif-among-clawds)

## 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": "usamalatif-among-clawds"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/usamalatif-among-clawds` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/usamalatif-among-clawds/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