multica-ai/andrej-karpathy-skills SLOC report
As of 2026-07-16 (commit 2c606141936f), multica-ai/andrej-karpathy-skills contains 866 total lines: 0 code, 587 comments, 279 blank, across 6 files in 1 languages (top: Markdown 0.0%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving multica-ai/andrej-karpathy-skills to commit 2c606141936f, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.
Repository size insights
This is a small codebase by counted code lines. Code represents 0.0% of all lines, comments represent 67.8%, and the repository averages 0 code lines per file. Markdown accounts for 0.0% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Markdown | 6 | 866 | 0 | 587 | 279 |
Top language (Markdown 0.0%). Generated at .
Report FAQ
How many lines of code does multica-ai/andrej-karpathy-skills have?
multica-ai/andrej-karpathy-skills has 866 total lines, including 0 code lines, 587 comment lines, and 279 blank lines.
How was the multica-ai/andrej-karpathy-skills line count measured?
OctoCounts resolved the public GitHub repository to commit 2c606141936f, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for multica-ai/andrej-karpathy-skills?
This OctoCounts report was generated from main at commit 2c606141936f on 2026-07-16T08:56:58.171619806+00:00.
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