validate-docs

Documentation completeness is verified by checking for the presence of essential files like README.md, API specifications, and architecture diagrams. The validation process scans your project to ensure all required sections are present before release.

A documentation score is calculated based on predefined criteria including section presence, code example functionality, and diagram currency. This scoring mechanism provides a clear metric to ensure adherence to your quality targets.

The documentation validation process requires the python-docs-generator dependency to function. You must have this prerequisite installed in your environment before executing completeness and quality checks.

Automating documentation validation before release involves running completeness checks for missing sections and broken links. This ensures all necessary documentation is present and meets required quality standards, preventing potential support issues.

Validating up-to-date diagrams and functional code examples is supported by scanning documentation for content currency and functionality. The process assesses these elements against predefined criteria to verify overall content integrity.