codebase-inspection

To count lines of code and get a language breakdown for a repository, this Skill analyzes codebases using pygount to produce LOC, language distribution, and file counts. It provides a quick metrics snapshot applicable to repositories of any programming language.

Yes, you can exclude dependency folders when analyzing codebase metrics. The Skill implements codebase inspection via pygount with configurable folder exclusions, allowing you to skip dependencies and build directories during the LOC analysis.

Available output formats for code analysis results include both a summary table and JSON. These formats allow you to review language breakdowns and file counts visually or use the JSON output for programmatic integration.

Yes, pygount works for codebases written in any programming language. The codebase inspection is applicable to repositories of any language where you need a quick metrics snapshot, size estimates, and language distribution.

The best way to get a quick code size estimate for a project is using this Skill to analyze the codebase with pygount. It determines LOC, language breakdown, and file counts, providing fast size estimates and language distribution.

To generate a JSON report of code lines and comments for your repository, this Skill uses pygount to analyze codebases and outputs a full language breakdown with counts of files, code lines, and comments in JSON format.