Does it provide a numerical score for notebooks?

Yes, it generates a report with a score out of 20, evaluating dimensions like Narrative Quality, Code Quality, Technical Accuracy, and Actionability.

What documentation framework does this skill follow?

It is informed by the Diataxis framework, prioritizing a problem-first narrative, clear learning contracts, and transferable knowledge.

How does it handle security during audits?

The skill runs automated checks using detect-secrets and custom validation patterns to identify hardcoded API keys or credentials before publication.

What is the Cookbook Audit skill used for?

It is used to perform comprehensive reviews of Jupyter notebooks (cookbooks) to ensure they meet high standards for educational clarity, technical accuracy, and security.

Can I use this for non-Anthropic notebooks?

While it references specific Anthropic style guides, the core principles of the audit—such as clear setup, suppressed outputs, and structured conclusions—apply to all high-quality technical tutorials.

Cookbook Quality Audit

Name: Cookbook Quality Audit
Author: Activer007

byActiver007

Learning & Documentation

Audits technical notebooks against professional documentation standards and educational rubrics to ensure high-quality tutorials.

About

The Cookbook Audit skill provides a structured framework for reviewing and scoring technical notebooks, specifically optimized for Anthropic's style guidelines. It automates the validation process by running security checks for hardcoded secrets and technical linting, followed by a guided manual review of narrative quality, code presentation, and pedagogical structure. By evaluating learning objectives, setup patterns, and content philosophy, this skill ensures that technical guides are action-oriented, secure, and helpful for both novice and experienced builders.

Key Features

Verification of Terminal and Enabling Learning Objectives (TLOs/ELOs)
Style guide enforcement for code presentation and output management
0 GitHub stars
Rubric-based scoring for narrative, code, and technical accuracy
Automated secret detection and notebook validation scripts
Standardized audit report generation with executive summaries

Use Cases

Reviewing community contributions to technical documentation repositories
Performing pre-publication quality assurance on AI and ML tutorials
Auditing existing notebook libraries for security vulnerabilities and outdated API patterns

About

Key Features

Verification of Terminal and Enabling Learning Objectives (TLOs/ELOs)
Style guide enforcement for code presentation and output management
0 GitHub stars
Rubric-based scoring for narrative, code, and technical accuracy
Automated secret detection and notebook validation scripts
Standardized audit report generation with executive summaries

Use Cases

Reviewing community contributions to technical documentation repositories
Performing pre-publication quality assurance on AI and ML tutorials
Auditing existing notebook libraries for security vulnerabilities and outdated API patterns