Which models does this skill support?

It supports a wide range of models including Grok, Gemini, GPT-5, DeepSeek, MiniMax, Kimi, and GLM, as well as various free models via the Claudish proxy.

Does it track performance statistics?

Absolutely. The skill enforces performance tracking, capturing execution time, success rates, and quality scores to help you optimize your model selection over time.

How does it speed up the validation process?

By executing model calls in parallel rather than sequentially, it can reduce a 15-minute review process to under 5 minutes, providing a 3-5x speedup.

Can I save my preferred models for specific tasks?

Yes, the skill automatically learns and saves your model preferences for different contexts like debugging, research, or coding in a local configuration file.

Multi-Model Validation

Name: Multi-Model Validation
Author: MadAppGang

byMadAppGang

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230

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Herramientas de Colaboración

Validates code and designs by running multiple AI models in parallel to achieve consensus and 3-5x faster reviews.

Multi-Model Validation is an advanced orchestration skill that leverages the Claudish proxy to execute tasks across diverse AI models like Grok, Gemini, and GPT-5 simultaneously. It streamlines code reviews and system audits by identifying critical issues flagged by multiple model perspectives while providing detailed performance statistics and cost transparency. With intelligent features like context-aware model preferences, session-based workspaces, and dynamic model discovery (including free tiers), it ensures high-quality validation results with maximum efficiency and data-driven model selection.

Características Principales

01Context-aware preferences that automatically reuse model selections for debug, research, or coding tasks.

02230 GitHub stars

03Detailed performance tracking with statistics on execution time, quality scores, and failure rates.

04Dynamic model discovery via claudish to find the best performing paid or free models.

05Isolated session-based workspaces to prevent data cross-contamination and ensure audit traceability.

06Parallel execution of multiple AI models for 3-5x faster validation cycles.

Casos de Uso

01Optimizing API costs by discovering and validating implementations using high-quality free model tiers.

02Debugging complex architectural issues using diverse perspectives from different AI providers.

03Performing high-stakes code reviews by gaining consensus from multiple top-tier models simultaneously.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add madappgang/claude-code multi-model-validation

For use in Claude.ai and ChatGPT

Download Skill