Mavis2103/skill-context-manager SLOC report
As of 2026-07-24 (commit d3378a19d96e), Mavis2103/skill-context-manager contains 8,454 total lines: 5,841 code, 1,294 comments, 1,319 blank, across 44 files in 6 languages (top: Python 95.5%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving Mavis2103/skill-context-manager to commit d3378a19d96e, 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 69.1% of all lines, comments represent 15.3%, and the repository averages 133 code lines per file. Python accounts for 95.5% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| Python | 32 | 6931 | 5581 | 340 | 1010 |
| Shell | 4 | 228 | 163 | 26 | 39 |
| YAML | 2 | 87 | 67 | 12 | 8 |
| TOML | 1 | 38 | 30 | 3 | 5 |
| Markdown | 4 | 1157 | 0 | 903 | 254 |
| Plain Text | 1 | 13 | 0 | 10 | 3 |
Top language (Python 95.5%). Generated at 2026-07-24T01:42:49.470238963+00:00.
Report FAQ
How many lines of code does Mavis2103/skill-context-manager have?
Mavis2103/skill-context-manager has 8,454 total lines, including 5,841 code lines, 1,294 comment lines, and 1,319 blank lines.
How was the Mavis2103/skill-context-manager line count measured?
OctoCounts resolved the public GitHub repository to commit d3378a19d96e, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
What commit was counted for Mavis2103/skill-context-manager?
This OctoCounts report was generated from main at commit d3378a19d96e on 2026-07-24T01:42:49.470238963+00:00.
Similar repository reports
Other public repositories with an OctoCounts report, ranked by top language and code size similarity:
- langchain-ai/open_deep_research — Python, 5,856 code lines
- wuji-labs/nopua — Python, 5,886 code lines
- karpathy/nanochat — Python, 5,935 code lines
- OpenMOSS/MOSS-Transcribe-Diarize — Python, 5,712 code lines
- FoxUserbot/CustomModules — Python, 5,688 code lines
- QwenLM/Qwen3-ASR — Python, 5,684 code lines