# council-brief

> council-brief — jeadland-council-brief. Use this tool when you need to manage and query multiple large language models (LLMs) to achieve consensus and unified output. It solves problems of model inconsistency and complexity by providing a single interface to install, query, and manage a multi-model consensus application. The council-brief tool takes in queries and model configurations as inputs and outputs unified responses and consensus results.

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

## Description

Unified LLM Council skill — install, query, and manage the multi-model consensus app.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

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

## 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-council-brief"
    }
  }
}
```

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