Can I use this for non-Anthropic notebooks?

While optimized for the Anthropic Cookbook style guide, the principles of narrative quality, action-oriented learning, and security scanning can be applied to any educational Jupyter notebook.

How does it simplify the code review process?

It converts .ipynb files into clean Markdown in a temporary folder, removing extraneous outputs so reviewers can focus specifically on the logic and teaching narrative.

Does it provide a quantitative score?

Yes, it generates a report with an overall score out of 20, broken down into specific dimensions like Technical Accuracy and Narrative Quality.

What does the Cookbook Audit skill check for?

It evaluates notebooks based on narrative flow, code quality, technical accuracy, and actionability, while also running automated checks for hardcoded secrets and structural compliance.

How does it handle security during the audit?

The skill integrates with detect-secrets and custom plugins to scan notebooks for API keys and credentials, preventing sensitive data leaks in documentation.

Cookbook Audit

Name: Cookbook Audit
Author: Activer007

byActiver007

学习与文档

Audits Anthropic Cookbook notebooks against standardized quality rubrics to ensure educational excellence and technical accuracy.

关于

The Cookbook Audit skill is a specialized tool designed to evaluate and improve educational notebooks, specifically those following the Anthropic style guidelines. It streamlines the review process by combining automated security checks—such as scanning for hardcoded API keys via detect-secrets—with a structured manual audit workflow. The skill helps developers and technical writers ensure their content is problem-focused, pedagogically sound, and technically robust by providing a quantitative score across four dimensions: narrative quality, code quality, technical accuracy, and actionability. It generates detailed reports with prioritized recommendations to help transform basic tutorials into high-quality learning resources.

主要功能

Automated secret detection for API keys and credentials
Markdown conversion for simplified, context-focused code review
Rubric-based scoring across narrative, code, and accuracy
0 GitHub stars
Technical validation of notebook structure and dependencies
Actionable recommendation reports with prioritized improvement steps

使用场景

Auditing AI tutorials for security vulnerabilities and deprecated API patterns
Ensuring internal technical documentation follows pedagogical best practices
Reviewing community-submitted notebooks for official repository inclusion

关于

主要功能

Automated secret detection for API keys and credentials
Markdown conversion for simplified, context-focused code review
Rubric-based scoring across narrative, code, and accuracy
0 GitHub stars
Technical validation of notebook structure and dependencies
Actionable recommendation reports with prioritized improvement steps

使用场景

Auditing AI tutorials for security vulnerabilities and deprecated API patterns
Ensuring internal technical documentation follows pedagogical best practices
Reviewing community-submitted notebooks for official repository inclusion