# ai4s-research/ai4s-skills SLOC report

> As of 2026-09-07 (commit b69696b22a9f), ai4s-research/ai4s-skills contains 11,726 total lines: 4,764 code, 4,494 comments, 2,468 blank, across 82 files in 7 languages (top: Python 86.9%). Counted with tokei via OctoCounts.

OctoCounts produced this report by resolving ai4s-research/ai4s-skills to commit b69696b22a9f, 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 40.6% of all lines, comments represent 38.3%, and the repository averages 58 code lines per file. Python accounts for 86.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 18 | 4,637 | 4,139 | 127 | 371 |
| JSON | 2 | 455 | 455 | 0 | 0 |
| TeX | 2 | 120 | 77 | 30 | 13 |
| Shell | 3 | 100 | 60 | 20 | 20 |
| YAML | 1 | 38 | 33 | 1 | 4 |
| Markdown | 52 | 6,359 | 0 | 4,299 | 2,060 |
| Plain Text | 4 | 17 | 0 | 17 | 0 |

Top language (Python 86.9%). Generated at 2026-09-07T03:23:35.657941046+00:00. Canonical report: https://octocounts.com/github/ai4s-research/ai4s-skills

## Report FAQ

### How many lines of code does ai4s-research/ai4s-skills have?

ai4s-research/ai4s-skills has 11,726 total lines, including 4,764 code lines, 4,494 comment lines, and 2,468 blank lines.

### How was the ai4s-research/ai4s-skills line count measured?

OctoCounts resolved the public GitHub repository to commit b69696b22a9f, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for ai4s-research/ai4s-skills?

This OctoCounts report was generated from b69696b22a9f84dbc9b9972ce108aad5cd8b04e7 at commit b69696b22a9f on 2026-09-07T03:23:35.657941046+00:00.

## Similar repository reports

- [python-poetry/tomlkit](https://octocounts.com/github/python-poetry/tomlkit) — Python, 4,746 code lines
- [SYSTRAN/faster-whisper](https://octocounts.com/github/SYSTRAN/faster-whisper) — Python, 4,729 code lines
- [MHMD-H/costumer-support](https://octocounts.com/github/MHMD-H/costumer-support) — Python, 4,708 code lines
- [Klotzkette/claude-fuer-deutsches-recht](https://octocounts.com/github/Klotzkette/claude-fuer-deutsches-recht) — Python, 4,707 code lines
- [ArThirtyFour/MXU-modules](https://octocounts.com/github/ArThirtyFour/MXU-modules) — Python, 4,825 code lines
- [MxUserBot/MXU-modules](https://octocounts.com/github/MxUserBot/MXU-modules) — Python, 4,825 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [OctoCounts API docs](https://octocounts.com/docs/api)