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repowise2233admin/mco

2233admin / mco

pythongithub.com/2233admin/mco
Indexed atfb420cc·2mo ago·Up to date with upstream
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Code health

8.1out of 10Excellent

2233admin/mco scores 8.1 out of 10 on defect risk, which Repowise rates Excellent. Maintainability scores 8.6 out of 10. Static performance risk scores 9.9 out of 10. The three are scored separately and never blended into a single number. 3 of 307 files are git hotspots, the places where changes and bug fixes concentrate.

Full health report
Defect risk8.1/10 · Excellent
Maintainability8.6/10 · Excellent
Performance risk9.9/10 · Excellent
Files
307
Symbols
1.8k
Modules
46
Doc pages
0
Dead exports
1

Where the risk concentrates

All 3 hotspots

Ranked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.

FileChurnPrior fixesMaintainersCommits 90d
cli.pyruntime99.3th %ile336
review_engine.pyruntime98.6th %ile323
parsing.pyruntime/adapters96.6th %ile2

Read more about 2233admin/mco

  • 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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Code health badge

Average health across every file, straight from the latest index.

Code health badge showing the average health score out of 10
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How 2233admin/mco works

This page is an auto-generated, always-fresh map of the 2233admin/mco repository, written primarily in python. 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 307 source files, 1,795 symbols, and 7 languages, organised into 46 modules, led by python, json, markdown. Static analysis leaves 575 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.

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  • CommitsChange-risk ranked history with AI-agent provenance and hotspots
  • ContributorsBus-factor, per-file maintainer maps, and human/agent collaboration
  • DecisionsArchitectural decisions extracted from commits and PRs
  • Chat with this repoSign inProAsk grounded questions over the indexed code