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

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Learning & Documentation

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

About

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

Markdown-based review conversion for cleaner context management during audits
1 GitHub stars
Rubric-based scoring for narrative, code quality, and technical accuracy
Structured reporting with prioritized recommendations and specific code examples
Strict adherence to canonical style guides and learning objective templates
Automated notebook validation and secret detection via custom plugins

Use Cases

Auditing existing documentation repositories for technical debt and style consistency
Peer-reviewing new Anthropic Cookbook submissions for publication
Automating security compliance checks in Jupyter notebooks before deployment

About

Key Features

Markdown-based review conversion for cleaner context management during audits
1 GitHub stars
Rubric-based scoring for narrative, code quality, and technical accuracy
Structured reporting with prioritized recommendations and specific code examples
Strict adherence to canonical style guides and learning objective templates
Automated notebook validation and secret detection via custom plugins

Use Cases

Auditing existing documentation repositories for technical debt and style consistency
Peer-reviewing new Anthropic Cookbook submissions for publication
Automating security compliance checks in Jupyter notebooks before deployment