multi-model-validation

What problem does it solve?

This Skill enables running multiple AI models in parallel to accelerate reviews, validate code or designs from multiple perspectives, and track performance statistics to improve model curation. It supports dynamic model discovery, session-based workspaces, and mandatory checklists to ensure complete reviews, making 3-5x faster consensus-driven quality checks.

Core Features & Use Cases

• Parallel model execution: Run Grok, Gemini, GPT-5, DeepSeek, or Claudish proxies in parallel to accelerate reviews.
• Dynamic model discovery: Use claudish --top-models and --free to pick current available models.
• Session-based workspaces: Isolated per-session directories to prevent data leakage between runs.
• Statistics & discipline: Track model timing, success/failure, and generate data-driven recommendations.

Quick Start

Create a unique session directory for your validation, discover models with claudish, select internal and external models, store the selection in the session, and run the parallel validation to produce a consolidated report.