# zhaoxuya520/reverse-skill SLOC report

> As of 2026-09-25 (commit cab634bd855f), zhaoxuya520/reverse-skill contains 167,275 total lines: 53,345 code, 87,227 comments, 26,703 blank, across 554 files in 10 languages (top: JSON 71.0%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

zhaoxuya520/reverse-skill has 53,345 source lines of code out of 167,275 total lines across 554 files, counted from the main ref at commit cab634bd855f by the OctoCounts tokei engine on 2026-09-25. 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 zhaoxuya520/reverse-skill to commit cab634bd855f, 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 31.9% of all lines, comments represent 52.1%, and the repository averages 96 code lines per file. JSON accounts for 71.0% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 7 | 37,900 | 37,900 | 0 | 0 |
| PowerShell | 40 | 8,297 | 7,176 | 400 | 721 |
| Shell | 21 | 5,984 | 4,906 | 440 | 638 |
| Java | 2 | 1,781 | 1,625 | 37 | 119 |
| Python | 7 | 1,171 | 995 | 8 | 168 |
| JavaScript | 1 | 379 | 338 | 17 | 24 |
| YAML | 44 | 300 | 258 | 0 | 42 |
| Batch | 2 | 188 | 147 | 6 | 35 |
| Markdown | 429 | 111,270 | 0 | 86,314 | 24,956 |
| Plain Text | 1 | 5 | 0 | 5 | 0 |

Top language (JSON 71.0%). Generated at 2026-09-25T09:19:51.665783580+00:00. Canonical report: https://octocounts.com/github/zhaoxuya520/reverse-skill

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/zhaoxuya520/reverse-skill/commit/cab634bd855fc287f6e420c1f36fd1a6b9245960?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 zhaoxuya520/reverse-skill have?

zhaoxuya520/reverse-skill has 167,275 total lines, including 53,345 code lines, 87,227 comment lines, and 26,703 blank lines.

### How was the zhaoxuya520/reverse-skill line count measured?

OctoCounts resolved the public GitHub repository to commit cab634bd855f, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for zhaoxuya520/reverse-skill?

This OctoCounts report was generated from main at commit cab634bd855f on 2026-09-25T09:19:51.665783580+00:00.

## Similar repository reports

- [leigangzhang/cook-rag](https://octocounts.com/github/leigangzhang/cook-rag) — JSON, 53,332 code lines
- [at-inc/aside-benchmarks](https://octocounts.com/github/at-inc/aside-benchmarks) — JSON, 53,713 code lines
- [GenerateNU/platnm](https://octocounts.com/github/GenerateNU/platnm) — JSON, 53,944 code lines
- [maria-korosteleva/GarmentCode](https://octocounts.com/github/maria-korosteleva/GarmentCode) — JSON, 52,544 code lines
- [Code-4-Community/shelter-link](https://octocounts.com/github/Code-4-Community/shelter-link) — JSON, 52,442 code lines
- [biansy000/GarmentCodeRC](https://octocounts.com/github/biansy000/GarmentCodeRC) — JSON, 54,454 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)
- [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)