# LLMconcil

> LLMconcil — azeur365-llmconcil. Use this tool when you need to compare and contrast responses from multiple Large Language Models (LLMs) to identify consensus, contradictions, and blind spots. It takes in a prompt and LLM responses as input, and outputs a structured comparison of the responses, enabling more informed decision-making. Ideal for use cases requiring nuanced understanding and mitigating biases in AI-generated content.

Canonical page: https://skillsregistry.net/skills/azeur365-llmconcil  
JSON: https://api.skillsregistry.net/v1/skills/azeur365-llmconcil

## Description

Enables Claude Code to send a prompt to multiple LLMs simultaneously and get a judge model's structured comparison of their responses. This surfaces consensus, contradictions, and blind spots, letting Claude write a more informed final answer.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g5b30l3omv)
- **Repository:** <https://github.com/azeur365/LLMconcil>

## 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": "azeur365-llmconcil"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/azeur365-llmconcil` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/azeur365-llmconcil/pull`

---
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