What is the primary goal of the audit report?

The report provides an objective score (out of 20) and a list of specific, actionable improvements to ensure the notebook is problem-focused and educational.

Does this skill check for security vulnerabilities like API keys?

Yes, the cookbook-audit skill uses automated scripts and custom patterns to detect hardcoded secrets and credentials before a notebook is finalized.

How does it handle the .ipynb file format?

The skill generates a markdown version of the notebook in a temporary folder to make the review process cleaner and more context-efficient for the AI.

Can I use this for non-Anthropic notebooks?

While it is specifically mapped to the Anthropic style guide, the principles of narrative quality, code explanation, and objective-based learning are applicable to any technical tutorial.

Cookbook Audit Pro

Name: Cookbook Audit Pro
Author: Activer007

byActiver007

学習とドキュメンテーション

Audits Anthropic Cookbook notebooks against professional style guides and technical rubrics to ensure high-quality educational content.

概要

This skill provides a standardized framework for reviewing and auditing technical notebooks, specifically optimized for the Anthropic Cookbook style. It guides the user through a comprehensive workflow that includes automated secret detection, notebook-to-markdown conversion for cleaner analysis, and a structured manual review based on the Diataxis documentation framework. The skill evaluates content across narrative quality, code standards, and technical accuracy, resulting in a detailed audit report with objective scoring and prioritized recommendations for improvement.

主な機能

Conversion of Jupyter notebooks to markdown for optimized context review
0 GitHub stars
Problem-focused introduction and learning objective checklist
Automated technical validation and secret detection for security
Structured scoring rubric covering narrative, code, and accuracy
Action-oriented content analysis based on the Diataxis framework

ユースケース

Reviewing community-contributed notebooks for official publication
Ensuring internal technical documentation follows consistent style patterns
Automating the detection of hardcoded API keys in tutorial code

概要

主な機能

Conversion of Jupyter notebooks to markdown for optimized context review
0 GitHub stars
Problem-focused introduction and learning objective checklist
Automated technical validation and secret detection for security
Structured scoring rubric covering narrative, code, and accuracy
Action-oriented content analysis based on the Diataxis framework

ユースケース

Reviewing community-contributed notebooks for official publication
Ensuring internal technical documentation follows consistent style patterns
Automating the detection of hardcoded API keys in tutorial code