wuyoscar/GPT-Image2-Skill SLOC report
As of 2026-07-15 (commit e48b023f3876), wuyoscar/GPT-Image2-Skill contains 9,472 total lines: 371 code, 6,331 comments, 2,770 blank, across 47 files in 4 languages (top: Python 83.8%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving wuyoscar/GPT-Image2-Skill to commit e48b023f3876, 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 3.9% of all lines, comments represent 66.8%, and the repository averages 8 code lines per file. Python accounts for 83.8% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 3 | 389 | 311 | 18 | 60 |
| TOML | 1 | 60 | 56 | 0 | 4 |
| YAML | 1 | 4 | 4 | 0 | 0 |
| Markdown | 42 | 9019 | 0 | 6313 | 2706 |
Top language (Python 83.8%). Generated at 2026-07-15T15:01:33.550851596+00:00.
Report FAQ
How many lines of code does wuyoscar/GPT-Image2-Skill have?
wuyoscar/GPT-Image2-Skill has 9,472 total lines, including 371 code lines, 6,331 comment lines, and 2,770 blank lines.
How was the wuyoscar/GPT-Image2-Skill line count measured?
OctoCounts resolved the public GitHub repository to commit e48b023f3876, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for wuyoscar/GPT-Image2-Skill?
This OctoCounts report was generated from main at commit e48b023f3876 on 2026-07-15T15:01:33.550851596+00:00.
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