What criteria are used to score a cookbook?

Notebooks are scored on four main dimensions: Narrative Quality, Code Quality, Technical Accuracy, and Actionability & Understanding.

What are TLOs and ELOs in the context of this skill?

Terminal Learning Objectives (TLOs) and Enabling Learning Objectives (ELOs) are pedagogical frameworks used to define exactly what a user will learn and build in the tutorial.

How does it handle the review of large .ipynb files?

The skill converts notebooks to a markdown format in a temporary directory, removing extraneous output to provide a cleaner context for the review process.

Does it detect hardcoded API keys?

Yes, the skill runs automated checks using detect-secrets to identify and flag hardcoded credentials or API keys before they are committed.

What is the purpose of the Cookbook Audit skill?

It is designed to review and score Anthropic Cookbook notebooks based on a specific style guide and technical rubric to ensure they are secure, educational, and high-quality.

Cookbook Audit

Name: Cookbook Audit
Author: Activer007

byActiver007

학습 및 문서화

Audits technical notebooks against standardized rubrics to ensure high-quality narrative, code security, and pedagogical effectiveness.

소개

The Cookbook Audit skill provides a comprehensive framework for reviewing and improving technical notebooks, specifically optimized for the Anthropic Cookbook style. It automates technical checks—including secret detection and notebook-to-markdown conversion—while guiding users through a qualitative manual review of narrative structure, code quality, and technical accuracy. By enforcing specific standards for learning objectives, setup patterns, and the 'Action + Understanding' philosophy, this skill helps developers transform raw code into professional-grade, educational AI content.

주요 기능

Style guide enforcement for learning objectives (TLOs/ELOs) and setup patterns
Structured scoring across narrative, code, and technical accuracy
Automated technical validation and secret detection for API keys
0 GitHub stars
Jupyter notebook to markdown conversion for streamlined code review
Standardized audit reporting with executive summaries and recommendations

사용 사례

Enforcing security best practices and secret scanning in Jupyter notebooks
Reviewing technical AI tutorials for public repository submission
Improving the pedagogical flow of developer documentation and guides

소개

주요 기능

Style guide enforcement for learning objectives (TLOs/ELOs) and setup patterns
Structured scoring across narrative, code, and technical accuracy
Automated technical validation and secret detection for API keys
0 GitHub stars
Jupyter notebook to markdown conversion for streamlined code review
Standardized audit reporting with executive summaries and recommendations

사용 사례

Enforcing security best practices and secret scanning in Jupyter notebooks
Reviewing technical AI tutorials for public repository submission
Improving the pedagogical flow of developer documentation and guides