codebase-inspection

To count lines of code and get a language breakdown, this skill automates LOC calculation, file counts, and comment lines for every programming language in your repository. It automatically excludes dependency, build, and cache directories to prevent skewed metrics.

Calculating code-to-comment ratios across large codebases is automated by this skill using the pygount command-line tool. It accurately generates metrics while skipping common dependency and cache directories, solving the time-consuming and error-prone nature of manual analysis.

Yes, you need the pygount command-line tool installed to analyze codebase size and language composition. The skill requires pygount to generate accurate lines of code, file count, and code-to-comment ratio metrics for your software repositories.

Dependency, build, and cache directories are automatically excluded when counting LOC to eliminate skewed results from third-party code. This noise exclusion ensures your codebase size assessment and technical debt tracking reflect only your actual project code.

Yes, you can use this for technical debt tracking across any programming language codebase. It assesses project size, tracks code growth across versions, and generates code-to-comment ratio metrics suitable for technical debt reporting.