Parallel Multi-Model Validation

About

The Multi-Model Validation skill empowers developers to run diverse LLMs—including Grok, Gemini, GPT-5, and DeepSeek—simultaneously via the Claudish proxy. By utilizing a specialized 4-message parallel execution pattern, it achieves up to 5x speedups in review workflows. The skill features dynamic model discovery to find the best-performing free or paid models, session-based workspace isolation to prevent data conflicts, and mandatory statistics collection to track execution time and quality scores across different AI providers.

Key Features

• Mandatory performance statistics tracking and data-driven recommendations
• True parallel execution of 5+ models for 3-5x faster code reviews
• Isolated session-based workspaces to ensure clean, audit-ready validation data
• Consensus-based analysis to prioritize critical issues flagged by multiple models
• Dynamic model discovery for real-time pricing and free model availability
• 1 GitHub stars

Use Cases

• Performing high-stakes code reviews requiring diverse expert perspectives
• Optimizing LLM costs by benchmarking free models against paid alternatives
• Establishing a 'consensus gate' where code is only merged if multiple models agree