# Weizhena/Deep-Research-skills SLOC report

> As of 2026-10-01 (commit 6ce38f60e3f8), Weizhena/Deep-Research-skills contains 3,006 total lines: 863 code, 1,589 comments, 554 blank, across 40 files in 4 languages (top: Python 81.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

Weizhena/Deep-Research-skills has 863 source lines of code out of 3,006 total lines across 40 files, counted from the master ref at commit 6ce38f60e3f8 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 Weizhena/Deep-Research-skills to commit 6ce38f60e3f8, 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 28.7% of all lines, comments represent 52.9%, and the repository averages 22 code lines per file. Python accounts for 81.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 4 | 791 | 703 | 8 | 80 |
| TOML | 1 | 130 | 129 | 0 | 1 |
| Shell | 1 | 42 | 31 | 1 | 10 |
| Markdown | 34 | 2,043 | 0 | 1,580 | 463 |

Top language (Python 81.5%). Generated at 2026-10-01T08:50:45.385619632+00:00. Canonical report: https://octocounts.com/github/Weizhena/Deep-Research-skills

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/Weizhena/Deep-Research-skills/commit/6ce38f60e3f8b22502c29873f96503a4e0c5addb?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&reportId=d6cade89fdd248c654ad22097264f2e3b17992e1b7c106343b52ea1b33111c3e).

## Report FAQ

### How many lines of code does Weizhena/Deep-Research-skills have?

Weizhena/Deep-Research-skills has 3,006 total lines, including 863 code lines, 1,589 comment lines, and 554 blank lines.

### How was the Weizhena/Deep-Research-skills line count measured?

OctoCounts resolved the public GitHub repository to commit 6ce38f60e3f8, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for Weizhena/Deep-Research-skills?

This OctoCounts report was generated from master at commit 6ce38f60e3f8 on 2026-10-01T08:50:45.385619632+00:00.

## 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)
