2233admin / Factor-Research
Code health
2233admin/Factor-Research scores 9.3 out of 10 on defect risk, which Repowise rates Excellent.
Full health report- Files
- 11
- Symbols
- 5
- Modules
- 9
- Doc pages
- 0
- Dead exports
- 5
Read more about 2233admin/Factor-Research
- 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/Factor-Research)How 2233admin/Factor-Research works
This page is an auto-generated, always-fresh map of the 2233admin/Factor-Research 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 11 source files, 5 symbols, and 2 languages, organised into 9 modules, led by markdown, python. Static analysis leaves 3 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.