# Monte-Neo

> Monte-Neo — neozork-monte-neo. Use this tool when you need to verify the reliability of trading strategies developed by AI agents or humans, and identify potential issues such as look-ahead bias, hidden costs, and overfitting. It takes in trading strategies as input and outputs a verification report, providing a secure interface through MCP server, CLI, and GitHub Action, with added security of signed certificates. Ideal for use in financial modeling and algorithmic trading contexts where strategy validation is crucial.

Canonical page: https://skillsregistry.net/skills/neozork-monte-neo  
JSON: https://api.skillsregistry.net/v1/skills/neozork-monte-neo

## Description

Independent verifier for trading strategies written by AI agents and humans: catches look-ahead bias, hidden costs and overfitting. MCP server, CLI, GitHub Action, signed certificates.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/NeoZorK/Monte-Neo)

## 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": "neozork-monte-neo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neozork-monte-neo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neozork-monte-neo/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