coverage-calculation

To calculate documentation coverage, the Skill applies a coverage formula to quantify the percentage of documented items across Python, JavaScript/TypeScript, Go, Rust, Ruby, and Java. It uses language detection rules to identify gaps and generate a structured audit report.

Documentation coverage analysis quantifies how much of your codebase is documented to reveal gaps and drive improvements. You need it for code audits, governance, and quality improvements across supported programming languages.

Yes, you can enforce configurable thresholds for documentation audits across different languages. The Skill evaluates your codebase against these thresholds to identify undocumented items in the generated structured report.

Yes, documentation coverage calculation works with Go, Rust, and Java codebases, alongside Python, JavaScript/TypeScript, and Ruby. Language-aware detection rules identify documented items to compute the coverage percentage.

You generate an audit-ready report for code documentation gaps by running the coverage-calculation workflow on your codebase. It applies coverage formulas and language detection rules to produce a structured Documentation Coverage Report.

The best way to measure documentation quality across Python and JavaScript projects is applying a coverage formula to quantify documented items. Language-aware detection identifies gaps to guide documentation governance and improvements.