# Imbad0202/academic-research-skills-codex SLOC report

> Imbad0202/academic-research-skills-codex: 629,093 code lines at commit 52228e8280dd, counted with tokei-14.0.0 on 2026-10-04. Saved result 70f80ee677139e90dbf00d1cbb6ac227e38229a841199c4558a9b2f33ce86020.

Imbad0202/academic-research-skills-codex has 629,093 source lines of code out of 1,041,404 total lines across 3,945 files, counted from the main ref at commit 52228e8280dd by the OctoCounts tokei engine on 2026-10-04. 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 Imbad0202/academic-research-skills-codex to commit 52228e8280dd, 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 large codebase by counted code lines. Code represents 60.4% of all lines, comments represent 25.4%, and the repository averages 159 code lines per file. Python accounts for 74.3% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 918 | 553,752 | 467,266 | 24,594 | 61,892 |
| JSON | 1,090 | 154,484 | 154,262 | 0 | 222 |
| Shell | 18 | 4,516 | 2,544 | 1,632 | 340 |
| YAML | 40 | 2,510 | 2,102 | 282 | 126 |
| JavaScript | 8 | 1,590 | 1,416 | 20 | 154 |
| TOML | 4 | 1,462 | 1,058 | 54 | 350 |
| HTML | 1 | 218 | 209 | 0 | 9 |
| TeX | 2 | 398 | 172 | 134 | 92 |
| jq | 10 | 266 | 64 | 202 | 0 |
| Markdown | 1,804 | 293,724 | 0 | 208,923 | 84,801 |
| Plain Text | 50 | 28,484 | 0 | 28,240 | 244 |

Top language (Python 74.3%). Generated at 2026-10-04T14:37:09.908274556Z. Canonical report: https://octocounts.com/github/Imbad0202/academic-research-skills-codex/commit/52228e8280dd1770e18ecfc3b1fdf16b13b58104?reportId=70f80ee677139e90dbf00d1cbb6ac227e38229a841199c4558a9b2f33ce86020&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/Imbad0202/academic-research-skills-codex/commit/52228e8280dd1770e18ecfc3b1fdf16b13b58104?reportId=70f80ee677139e90dbf00d1cbb6ac227e38229a841199c4558a9b2f33ce86020&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 Imbad0202/academic-research-skills-codex have?

Imbad0202/academic-research-skills-codex has 1,041,404 total lines, including 629,093 code lines, 264,081 comment lines, and 148,230 blank lines.

### How was the Imbad0202/academic-research-skills-codex line count measured?

OctoCounts resolved the public GitHub repository to commit 52228e8280dd, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Imbad0202/academic-research-skills-codex?

This OctoCounts report was generated from main at commit 52228e8280dd on 2026-10-04T14:37:09.908274556Z.

## Similar repository reports

- [marin-community/marin](https://octocounts.com/github/marin-community/marin) — Python, 632,942 code lines
- [vectorize-io/hindsight](https://octocounts.com/github/vectorize-io/hindsight) — Python, 647,215 code lines
- [raullenchai/Rapid-MLX](https://octocounts.com/github/raullenchai/Rapid-MLX) — Python, 649,838 code lines
- [repowise-dev/repowise](https://octocounts.com/github/repowise-dev/repowise) — Python, 651,915 code lines
- [PrefectHQ/prefect](https://octocounts.com/github/PrefectHQ/prefect) — Python, 655,116 code lines
- [lightseekorg/tokenspeed](https://octocounts.com/github/lightseekorg/tokenspeed) — Python, 583,763 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)