# ComposioHQ/awesome-claude-skills SLOC report

> ComposioHQ/awesome-claude-skills: 13,349 code lines at commit be2a406907db, counted with tokei-14.0.0 on 2026-10-01. Saved result 61b9dd9420ffa6cd1e9c708b52c4a3c9090a937cc7a18e77d4c64ad1921fafb9.

ComposioHQ/awesome-claude-skills has 13,349 source lines of code out of 112,181 total lines across 1,005 files, counted from the master ref at commit be2a406907db by the OctoCounts tokei engine on 2026-10-01. 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 ComposioHQ/awesome-claude-skills to commit be2a406907db, 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 11.9% of all lines, comments represent 63.6%, and the repository averages 13 code lines per file. Python accounts for 91.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 62 | 16,035 | 12,187 | 1,365 | 2,483 |
| JavaScript | 1 | 979 | 817 | 82 | 80 |
| Shell | 2 | 376 | 308 | 27 | 41 |
| XML | 6 | 37 | 37 | 0 | 0 |
| Markdown | 892 | 90,298 | 0 | 66,248 | 24,050 |
| Plain Text | 42 | 4,456 | 0 | 3,653 | 803 |

Top language (Python 91.3%). Generated at 2026-10-01T08:52:32.664668311Z. Canonical report: https://octocounts.com/github/ComposioHQ/awesome-claude-skills/commit/be2a406907dbc61b73e6827ded415c96139d13a2?reportId=61b9dd9420ffa6cd1e9c708b52c4a3c9090a937cc7a18e77d4c64ad1921fafb9&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/ComposioHQ/awesome-claude-skills/commit/be2a406907dbc61b73e6827ded415c96139d13a2?reportId=61b9dd9420ffa6cd1e9c708b52c4a3c9090a937cc7a18e77d4c64ad1921fafb9&analysis=%7B%22profile%22%3A%22default%22%2C%22ignoredDirs%22%3A%5B%5D%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22ignoredLanguages%22%3A%5B%5D%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does ComposioHQ/awesome-claude-skills have?

ComposioHQ/awesome-claude-skills has 112,181 total lines, including 13,349 code lines, 71,375 comment lines, and 27,457 blank lines.

### How was the ComposioHQ/awesome-claude-skills line count measured?

OctoCounts resolved the public GitHub repository to commit be2a406907db, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for ComposioHQ/awesome-claude-skills?

This OctoCounts report was generated from master at commit be2a406907db on 2026-10-01T08:52:32.664668311Z.

## Similar repository reports

- [xu-yuanhao/KiroProxy](https://octocounts.com/github/xu-yuanhao/KiroProxy) — Python, 13,256 code lines
- [simonlin1212/TradingAgents-astock](https://octocounts.com/github/simonlin1212/TradingAgents-astock) — Python, 13,479 code lines
- [herbertkokholm/attest](https://octocounts.com/github/herbertkokholm/attest) — Python, 13,540 code lines
- [ychowdhrey/skills](https://octocounts.com/github/ychowdhrey/skills) — Python, 13,024 code lines
- [wshobson/agents](https://octocounts.com/github/wshobson/agents) — Python, 13,752 code lines
- [browser-act/skills](https://octocounts.com/github/browser-act/skills) — Python, 13,837 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)