Audits and scores Anthropic Cookbook notebooks against standardized style guides and technical rubrics.
This skill streamlines the review process for technical tutorials and cookbooks by enforcing specific style guidelines and best practices. It automates the detection of security risks like hardcoded credentials, converts complex Jupyter notebooks to clean markdown for easier evaluation, and provides a structured scoring system across narrative quality, code standards, and technical accuracy. It is an essential tool for developers and technical writers who need to ensure their educational content is high-quality, secure, and provides clear learning outcomes for users.
Key Features
01Structured report generation with prioritized, actionable recommendations
020 GitHub stars
03Automated security scanning for API keys and hardcoded credentials
04Notebook-to-Markdown conversion to facilitate cleaner context reviews
05Standardized scoring rubric across four critical quality dimensions
06Style guide enforcement for learning objectives (TLOs and ELOs)
Use Cases
01Refining educational content to ensure code blocks are actionable and well-explained
02Scanning technical tutorials for accidental credential leaks before public release
03Reviewing community or internal notebook submissions for style consistency
