# zhansan379/boss-crawler-skill SLOC report

> As of 2026-09-10 (commit 122e6f632c97), zhansan379/boss-crawler-skill contains 25,718 total lines: 18,383 code, 3,504 comments, 3,831 blank, across 109 files in 9 languages (top: Python 97.2%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

zhansan379/boss-crawler-skill has 18,383 source lines of code out of 25,718 total lines across 109 files, counted from the 122e6f632c97ab48103ff0eeef8ce976f482f28e ref at commit 122e6f632c97 by the OctoCounts tokei engine on 2026-09-10. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving zhansan379/boss-crawler-skill to commit 122e6f632c97, 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 medium-sized codebase by counted code lines. Code represents 71.5% of all lines, comments represent 13.6%, and the repository averages 169 code lines per file. Python accounts for 97.2% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 77 | 22,571 | 17,861 | 1,448 | 3,262 |
| JavaScript | 2 | 250 | 250 | 0 | 0 |
| HTML | 2 | 221 | 195 | 14 | 12 |
| SVG | 1 | 56 | 56 | 0 | 0 |
| JSON | 1 | 12 | 12 | 0 | 0 |
| XML | 1 | 8 | 8 | 0 | 0 |
| CSS | 1 | 2 | 1 | 1 | 0 |
| Markdown | 20 | 1,642 | 0 | 1,086 | 556 |
| Plain Text | 4 | 956 | 0 | 955 | 1 |

Top language (Python 97.2%). Generated at 2026-09-10T10:19:42.992693741+00:00. Canonical report: https://octocounts.com/github/zhansan379/boss-crawler-skill

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/zhansan379/boss-crawler-skill/commit/122e6f632c97ab48103ff0eeef8ce976f482f28e?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does zhansan379/boss-crawler-skill have?

zhansan379/boss-crawler-skill has 25,718 total lines, including 18,383 code lines, 3,504 comment lines, and 3,831 blank lines.

### How was the zhansan379/boss-crawler-skill line count measured?

OctoCounts resolved the public GitHub repository to commit 122e6f632c97, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for zhansan379/boss-crawler-skill?

This OctoCounts report was generated from 122e6f632c97ab48103ff0eeef8ce976f482f28e at commit 122e6f632c97 on 2026-09-10T10:19:42.992693741+00:00.

## Similar repository reports

- [antoinezambelli/forge](https://octocounts.com/github/antoinezambelli/forge) — Python, 18,347 code lines
- [HKUDS/Paper2Slides](https://octocounts.com/github/HKUDS/Paper2Slides) — Python, 18,316 code lines
- [pollen-robotics/microduck_rl](https://octocounts.com/github/pollen-robotics/microduck_rl) — Python, 18,591 code lines
- [MiniMax-AI/Mini-Agent](https://octocounts.com/github/MiniMax-AI/Mini-Agent) — Python, 18,654 code lines
- [petl-developers/petl](https://octocounts.com/github/petl-developers/petl) — Python, 18,675 code lines
- [gz83/thorium](https://octocounts.com/github/gz83/thorium) — Python, 18,004 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)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)
