shinkuan / akagi
支持雀魂、天鳳、麻雀一番街、天月麻將，能夠使用自定義的AI模型實時分析對局並給出建議，內建Mortal AI作為示例。 Supports Majsoul, Tenhou, Riichi City, Amatsuki, with the ability to use custom AI models to analyze games in real time and provide suggestions. Comes with Mortal AI as a built-in example.
Code health
shinkuan/akagi scores 6.9 out of 10 on defect risk, which Repowise rates Good. Maintainability scores 8.3 out of 10. Static performance risk scores 9.8 out of 10. The three are scored separately and never blended into a single number. 47 of 352 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 352
- Symbols
- 5.0k
- Modules
- 10
- Doc pages
- 507
- Dead exports
- 35
Where the risk concentrates
All 47 hotspotsRanked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| mod.rssrc/autoplay/majsoul | 99.7th %ile | 11bug magnet | 3bus factor 1 | 20 |
| manager.rssrc/bot | 99.0th %ile | 8bug magnet | 2bus factor 1 | 13 |
Read more about shinkuan/akagi
- OverviewFiles, symbols, languages, packages, git intelligence
- ArchitectureDependency graph, layered architecture, symbol index, and third-party dependencies
- Code healthPer-file health scores, hotspots, test coverage, dead code, and refactoring targets
- AI explanationsProModule-by-module documentation generated from source
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[](https://repowise.dev/repo/shinkuan/akagi)Code health badge
Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/shinkuan/akagi)How shinkuan/akagi works
支持雀魂、天鳳、麻雀一番街、天月麻將，能夠使用自定義的AI模型實時分析對局並給出建議，內建Mortal AI作為示例。 Supports Majsoul, Tenhou, Riichi City, Amatsuki, with the ability to use custom AI models to analyze games in real time and provide suggestions. Comes with Mortal AI as a built-in example. This page is an auto-generated, always-fresh map of the shinkuan/akagi repository, written primarily in Rust. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.
The codebase has 352 source files, 4,996 symbols, and 12 languages, organised into 10 modules, led by rust, typescript, markdown. Static analysis leaves 1,193 open findings across the three health dimensions.
Use the links above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.