2233admin / cheat-on-content
Code health
2233admin/cheat-on-content scores 7.6 out of 10 on defect risk, which Repowise rates Good. 3 of 69 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 69
- Symbols
- 43
- Modules
- 40
- Doc pages
- 0
- Dead exports
- 0
Where the risk concentrates
All 3 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 |
|---|---|---|---|---|
| install.sh | 92.9th %ile | 0 | 2 | 3 |
| crawler.pyadapters/perf-data/douyin-session | 85.7th %ile | 0 | 2 | 2 |
| score-curve.pytools | 78.6th %ile | 0 |
Read more about 2233admin/cheat-on-content
- 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 docsProModule-by-module documentation generated from source
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[](https://repowise.dev/repo/2233admin/cheat-on-content)Code health badge
Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/2233admin/cheat-on-content)How 2233admin/cheat-on-content works
This page is an auto-generated, always-fresh map of the 2233admin/cheat-on-content repository, written primarily in markdown. 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 69 source files, 43 symbols, and 5 languages, organised into 40 modules, led by markdown, shell, python. Static analysis leaves 12 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.