As of 2026-09-13 (commit 54a798831d22), mukul975/Anthropic-Cybersecurity-Skills contains 481,404 total lines: 213,879 code, 186,977 comments, 80,548 blank, across 3,694 files in 4 languages (top: Python 97.5%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving mukul975/Anthropic-Cybersecurity-Skills to commit 54a798831d22, 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.
This is a large codebase by counted code lines. Code represents 44.4% of all lines, comments represent 38.8%, and the repository averages 58 code lines per file. Python accounts for 97.5% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 1103 | 246058 | 208581 | 3588 | 33889 |
| JSON | 5 | 4658 | 4658 | 0 | 0 |
| PowerShell | 2 | 1012 | 640 | 223 | 149 |
| Markdown | 2584 | 229676 | 0 | 183166 | 46510 |
Top language (Python 97.5%). Generated at .
mukul975/Anthropic-Cybersecurity-Skills has 481,404 total lines, including 213,879 code lines, 186,977 comment lines, and 80,548 blank lines.
OctoCounts resolved the public GitHub repository to commit 54a798831d22, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from 54a798831d2266a3ca61ce68a7acb80b81160d57 at commit 54a798831d22 on 2026-09-13T09:14:26.769523444+00:00.
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