# multi-judge-consensus

> multi-judge-consensus — elonaug7-multi-judge-consensus. Use this tool when you need to ensure the accuracy and reliability of AI/agent-generated content by implementing a consensus-based review process. It solves the problem of hallucination in AI outputs by gating content through a multi-model review committee, providing a defense against potential errors. The tool accepts AI-generated content as input and outputs a consensus-based validation, with a local-first CLI and CI gate exit codes for seamless integration.

Canonical page: https://skillsregistry.net/skills/elonaug7-multi-judge-consensus  
JSON: https://api.skillsregistry.net/v1/skills/elonaug7-multi-judge-consensus

## Description

Cross-vendor multi-model review committee that gates AI/agent-generated content before it ships — consensus-based hallucination defense. Zero dependencies, local-first CLI, MCP server, CI gate exit codes.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/ElonAug7/multi-judge-consensus)

## 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": "elonaug7-multi-judge-consensus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/elonaug7-multi-judge-consensus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/elonaug7-multi-judge-consensus/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
