How do I trigger a model evaluation in Claude Code?

You can trigger it by asking Claude to 'evaluate model', 'check model performance', or 'run validation results'.

Can I compare two different models simultaneously?

Yes, the skill is designed to invoke evaluations for multiple models and present a side-by-side comparison of their performance.

What metrics can this Claude Code skill calculate?

The skill calculates a comprehensive range of standard metrics including accuracy, precision, recall, and F1-score.

Does this work for different types of ML tasks?

It is suitable for various tasks such as image classification, regression, and other standard supervised learning evaluations.

Machine Learning Model Evaluation Suite

Name: Machine Learning Model Evaluation Suite
Author: jeremylongshore

byjeremylongshore

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884

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Data Science & ML

Evaluates machine learning model performance using comprehensive metrics like accuracy, precision, and F1-score to ensure model quality.

The Machine Learning Model Evaluation Suite empowers Claude to perform deep performance analysis on AI models by automating the generation of critical metrics. This skill streamlines the validation process, allowing developers to assess model accuracy, recall, and F1-scores directly within the Claude Code environment. By leveraging the /eval-model command, it provides actionable insights for comparing multiple models and identifying specific areas for optimization before deployment.

Key Features

01Automated performance analysis using the /eval-model command

02Detailed performance reporting with key indicator highlights

03Validation of models against held-out datasets to ensure reliability

04884 GitHub stars

05Comprehensive metric generation including Accuracy, Precision, Recall, and F1-score

06Side-by-side model comparison for benchmarking different architectures

Use Cases

01Benchmarking multiple model iterations to select the best version for production

02Identifying performance regressions or bottlenecks in specialized AI tasks

03Validating model readiness and accuracy before deployment in live environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills model-evaluation-suite

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01Automated performance analysis using the /eval-model command

02Detailed performance reporting with key indicator highlights

03Validation of models against held-out datasets to ensure reliability

04884 GitHub stars

05Comprehensive metric generation including Accuracy, Precision, Recall, and F1-score

06Side-by-side model comparison for benchmarking different architectures

Use Cases

01Benchmarking multiple model iterations to select the best version for production

02Identifying performance regressions or bottlenecks in specialized AI tasks

03Validating model readiness and accuracy before deployment in live environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills model-evaluation-suite

For use in Claude.ai and ChatGPT

Download Skill