# lasywolf/Learn-OpenClaw SLOC report

> As of 2026-08-25 (commit 2b8f48511a68), lasywolf/Learn-OpenClaw contains 9,280 total lines: 5,685 code, 1,893 comments, 1,702 blank, across 93 files in 6 languages (top: JSON 39.9%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

lasywolf/Learn-OpenClaw has 5,685 source lines of code out of 9,280 total lines across 93 files, counted from the main ref at commit 2b8f48511a68 by the OctoCounts tokei engine on 2026-08-25. 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 lasywolf/Learn-OpenClaw to commit 2b8f48511a68, 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 61.3% of all lines, comments represent 20.4%, and the repository averages 61 code lines per file. JSON accounts for 39.9% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 3 | 2,269 | 2,269 | 0 | 0 |
| Python | 38 | 2,841 | 2,156 | 54 | 631 |
| TypeScript | 25 | 1,477 | 1,243 | 19 | 215 |
| TOML | 1 | 18 | 17 | 0 | 1 |
| Markdown | 25 | 2,645 | 0 | 1,795 | 850 |
| Plain Text | 1 | 30 | 0 | 25 | 5 |

Top language (JSON 39.9%). Generated at 2026-08-25T06:56:54.436541660+00:00. Canonical report: https://octocounts.com/github/lasywolf/Learn-OpenClaw

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/lasywolf/Learn-OpenClaw/commit/2b8f48511a68b4ad08b6998bdee213705f49c76e?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 lasywolf/Learn-OpenClaw have?

lasywolf/Learn-OpenClaw has 9,280 total lines, including 5,685 code lines, 1,893 comment lines, and 1,702 blank lines.

### How was the lasywolf/Learn-OpenClaw line count measured?

OctoCounts resolved the public GitHub repository to commit 2b8f48511a68, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for lasywolf/Learn-OpenClaw?

This OctoCounts report was generated from main at commit 2b8f48511a68 on 2026-08-25T06:56:54.436541660+00:00.

## Similar repository reports

- [wildminder/AI-windows-whl](https://octocounts.com/github/wildminder/AI-windows-whl) — JSON, 5,711 code lines
- [Defiabell/shotsync](https://octocounts.com/github/Defiabell/shotsync) — JSON, 5,604 code lines
- [doki-theme/doki-theme-vscode](https://octocounts.com/github/doki-theme/doki-theme-vscode) — JSON, 5,816 code lines
- [raomaiping-hash/SSO-Bridge](https://octocounts.com/github/raomaiping-hash/SSO-Bridge) — JSON, 5,840 code lines
- [numman-ali/opencode-openai-codex-auth](https://octocounts.com/github/numman-ali/opencode-openai-codex-auth) — JSON, 5,520 code lines
- [GrapesJS/components-navbar](https://octocounts.com/github/GrapesJS/components-navbar) — JSON, 5,857 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)
