# install-llm-council

> Use this tool when you need to deploy a multi-model consensus application with ease, solving problems of model inconsistency and complexity in AI decision-making. It provides a one-command setup, streamlining the installation process and allowing for seamless integration of multiple large language models (LLMs). Ideal for use cases requiring robust and reliable AI consensus, such as data analysis, predictive modeling, and natural language processing tasks.

Canonical page: https://skillsregistry.net/skills/jeadland-install-llm-council  
JSON: https://api.skillsregistry.net/v1/skills/jeadland-install-llm-council

## Description

LLM Council — multi-model consensus app with one-command setup.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-04-22

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jeadland-install-llm-council)

## 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": "jeadland-install-llm-council"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jeadland-install-llm-council` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jeadland-install-llm-council/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