What problem does it solve? Evaluating the health and quality of a Python library before adopting it as a dependency or preparing it for a major release is time-consuming and inconsistent without a structured checklist. This Skill provides a systematic review framework covering structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. ## Core Features & Use Cases - Multi-Dimensional Review: Assesses eight quality areas including pyproject.toml packaging, type hints, test coverage, security scanning, and CI/CD pipelines. - Red Flag and Green Flag Detection: Quickly identifies warning signs like missing tests or setup.py-only packaging, and positive signals like active maintenance and high coverage. - Structured Report Template: Produces a standardized review report with an overall rating, category scores, and prioritized recommendations. - Use Case: Before adding a new third-party package to your project, run this review to audit its test coverage, security posture with bandit and pip-audit, and maintenance activity, then receive an actionable quality report. ## Quick Start Ask the AI to review a Python library by cloning its repository and evaluating its structure, tests, security, and packaging against the review checklist.
