multi-llm-consensus

Validate outputs from multiple LLMs for agreement before proceeding.

10|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/verivus-oss/llm-cli-gateway --skill multi-llm-consensus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-llm-consensus
Source: https://github.com/verivus-oss/llm-cli-gateway/tree/main/skills/multi-llm-consensus
Command: npx skills add https://github.com/verivus-oss/llm-cli-gateway --skill multi-llm-consensus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures that critical tasks, such as code generation or review, are validated by multiple LLMs, reducing the risk of errors and improving the quality of the output.

Core Features & Use Cases

  • Multi-LLM Validation: Runs tasks through Claude, Codex, Gemini, Grok, and Mistral Vibe to ensure agreement before proceeding.
  • High-Stakes Tasks: Ideal for tasks that require high accuracy, such as code generation for production use or final review gates.
  • Use Case: When generating code for a production environment, use this Skill to get independent validations from multiple LLMs to ensure correctness.

Quick Start

Run the multi-llm-consensus skill on your task to get consensus from multiple LLMs.

Frequently Asked Questions about multi-llm-consensus

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate code generation across multiple LLMs before deployment?

To validate code generation across multiple LLMs, this Skill runs your task through Claude, Codex, Gemini, Grok, and Mistral Vibe, requiring agreement before proceeding to reduce errors.

What is multi-LLM consensus and when do I need it for production code?

Multi-LLM consensus is a task validation method where multiple LLMs independently evaluate high-stakes tasks, needed for production code to reduce risk and improve output quality through agreement.

Do I need a gateway to use multiple LLMs for task validation?

Yes, you need a gateway configured and accessible to route tasks to the multiple LLMs, ensuring independent validations from Claude, Codex, Gemini, Grok, and Mistral Vibe.

Can I use multi-model consensus for final code review gates?

Yes, you can use multi-model consensus for final code review gates, as it is designed for high-stakes tasks requiring high accuracy by ensuring independent LLM agreement before proceeding.

What is the best way to ensure correctness when generating code with multiple AI models?

The best way to ensure correctness when generating code with multiple AI models is to require consensus across them, prompting independent validations from Claude, Codex, Gemini, Grok, and Mistral Vibe.

Why does multi-LLM task validation fail to proceed with my code review?

Multi-LLM task validation fails to proceed if the configured LLMs do not reach an agreement, or if the gateway is not properly configured to access Claude, Codex, Gemini, Grok, and Mistral Vibe.