What criteria are used for scoring notebooks?

Notebooks are scored on four dimensions: Narrative Quality, Code Quality, Technical Accuracy, and Actionability, resulting in a total score out of 20.

What is a Cookbook Audit?

A Cookbook Audit is a specialized review process that evaluates technical notebooks against specific pedagogical and technical standards, ensuring they are high-quality, educational, and secure.

How does it handle security within notebooks?

The skill automatically runs a validation script that uses detect-secrets to scan for hardcoded API keys and credentials, checking them against a defined baseline.

Can I use this for non-Anthropic notebooks?

While optimized for Anthropic's style guide, the logic can be applied to any technical notebook that follows a problem-first learning structure.

Cookbook Quality Auditor

Name: Cookbook Quality Auditor
Author: pur3v4d3r

bypur3v4d3r

•

Learning & Documentation

Evaluates and scores technical notebooks against Anthropic's documentation style guidelines and security standards.

The Cookbook Quality Auditor skill automates the review process for technical notebooks by enforcing adherence to Anthropic's style guide and technical rubrics. It streamlines the audit workflow by combining automated security scanning—specifically for hardcoded secrets—with a structured manual review process that focuses on narrative flow, code quality, and pedagogical effectiveness. This skill is essential for developers and technical writers who need to ensure their educational content is actionable, secure, and aligned with high-quality documentation standards.

Key Features

01Markdown-based review conversion for cleaner context management during audits

021 GitHub stars

03Rubric-based scoring for narrative, code quality, and technical accuracy

04Structured reporting with prioritized recommendations and specific code examples

05Strict adherence to canonical style guides and learning objective templates

06Automated notebook validation and secret detection via custom plugins

Use Cases

01Auditing existing documentation repositories for technical debt and style consistency

02Peer-reviewing new Anthropic Cookbook submissions for publication

03Automating security compliance checks in Jupyter notebooks before deployment

Key Features

01Markdown-based review conversion for cleaner context management during audits

021 GitHub stars

03Rubric-based scoring for narrative, code quality, and technical accuracy

04Structured reporting with prioritized recommendations and specific code examples

05Strict adherence to canonical style guides and learning objective templates

06Automated notebook validation and secret detection via custom plugins

Use Cases

01Auditing existing documentation repositories for technical debt and style consistency

02Peer-reviewing new Anthropic Cookbook submissions for publication

03Automating security compliance checks in Jupyter notebooks before deployment