# llm-council

> llm-council — blessthis-llm-council. Use this tool when you need to gather diverse perspectives and opinions from multiple AI models on a single question, and then evaluate their responses through blind scoring and reveal. It solves problems of model bias and promotes independent thinking by allowing anonymous contributions from various LLMs. The tool accepts a question as input and outputs independent answers from each model, along with a scoring mechanism for evaluation.

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

## Description

Blind multi-model councils with anonymous LLM seats and direct 1:1 chat as a local MCP server. Enables asking one question to get independent answers from multiple model CLIs, then blind scoring and reveal.

## Trust

- **Trust score (0–1):** 0.13
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dul4jkeqjw)
- **Repository:** <https://github.com/blessthis/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": "blessthis-llm-council"
    }
  }
}
```

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