# OpenClaw Consensus

> Use this tool when you need to mitigate hallucinations in large language models (LLMs) and ensure consensus across multiple models. OpenClaw Consensus solves the problem of inconsistent or inaccurate outputs by leveraging 9-LLM consensus, disagreement scoring, and cheapest-route picks. It takes in multiple LLM outputs as input and produces a single, reliable output, making it ideal for applications requiring high accuracy and consensus.

Canonical page: https://skillsregistry.net/skills/io-github-miconnm-openclaw-consensus-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-miconnm-openclaw-consensus-mcp

## Description

9-LLM consensus + disagreement scoring + cheapest-route picks to fight hallucinations.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.MICONNM%2Fopenclaw-consensus-mcp)
- **Repository:** <https://github.com/MICONNM/openclaw-consensus-mcp>

## 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-miconnm-openclaw-consensus-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-miconnm-openclaw-consensus-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-miconnm-openclaw-consensus-mcp/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