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Repowise · Codebase intelligence

2233admin / cost-xray

pythongithub.com/2233admin/cost-xray
Indexed at7cf9f10·3d ago·Up to date
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Files indexed
58
Symbols
680
Languages
6
Structure
Single

Does the health score find the bugs?

Repowise ranks every file by predicted defect risk. Of the 20 files it flags as riskiest, 7 (35%) actually needed a bug fix in the last 6 months — 1.6× better than picking files at random.

Precision
35%
Lift
1.6×
Flagged
20

Languages

  • python75.9%
  • markdown15.5%
  • shell3.4%
  • makefile1.7%
  • toml1.7%
  • yaml1.7%

Explore 2233admin/cost-xray

Code health

Full report
74/100
Some risk7 hotspots
  • Code health77
  • Dead code76
  • Hotspot density76
  • Bus factor19

How 2233admin/cost-xray works

This page is an auto-generated, always-fresh map of the 2233admin/cost-xray 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 58 source files, 680 symbols, and 6 languages. Git churn analysis flags 7 high-frequency files as hotspots — places where bugs, rewrites, and code review tend to concentrate. The dependency graph clusters into 22 tightly-coupled module communities.

Use the panels 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.

Overview

Files, symbols, languages, packages, git intelligence

Architecture

Dependency graph, layered architecture, symbol index, and third-party dependencies

Code health

Per-file health scores, hotspots, test coverage, dead code, and refactoring targets

AI docsPro

Module-by-module documentation generated from source

Commits

Change-risk ranked history with AI-agent provenance and hotspots

Contributors

Bus-factor, per-file maintainer maps, and human/agent collaboration

Decisions

Architectural decisions extracted from commits and PRs

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Ask grounded questions over the indexed code