# turing-tank

> turing-tank — praevalis-turing-tank. Use this tool when you need to simulate investment scenarios with multiple agents and evaluate strategic decision-making in a competitive environment. The Turing Tank adversarial simulator solves problems related to portfolio optimization, risk management, and market analysis by pitting agents against each other, taking input parameters such as market data and agent strategies, and outputting performance metrics and investment outcomes. It is ideal for use cases involving complex financial modeling, strategy development, and what-if analysis.

Canonical page: https://skillsregistry.net/skills/praevalis-turing-tank  
JSON: https://api.skillsregistry.net/v1/skills/praevalis-turing-tank

## Description

Adversarial multi-agent investment simulator paying technical homage to Shark Tank.

## Trust

- **Trust score (0–1):** 0.94
- **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/praevalis/turing-tank)

## 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": "praevalis-turing-tank"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/praevalis-turing-tank` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/praevalis-turing-tank/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