# io.github.SamoraDC/tetrad

> Use this tool when you need to validate code using multiple AI models, such as Codex, Gemini, and Qwen, to achieve quadruple consensus and ensure reliable code verification. It solves problems of inconsistent code validation by providing a consensus-driven approach, taking in code inputs and outputting validated results. Ideal for use cases requiring high-confidence code validation, such as critical software development or auditing.

Canonical page: https://skillsregistry.net/skills/io-github-samoradc-tetrad  
JSON: https://api.skillsregistry.net/v1/skills/io-github-samoradc-tetrad

## Description

Quadruple consensus MCP server for code validation using Codex, Gemini, and Qwen

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.12
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.SamoraDC%2Ftetrad)
- **Repository:** <https://github.com/SamoraDC/Tetrad>

## 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": "io-github-samoradc-tetrad"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-samoradc-tetrad` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-samoradc-tetrad/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