Coding

Codebase Radar

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Scan codebase for dependency graph, tech debt hotspots, and module health scores

What it does

Scan codebase for dependency graph, tech debt hotspots, and module health scores

The skill document

Codebase Radar

Full-spectrum static analysis for any codebase: dependency graphs, module health scoring, tech debt detection, dead code, and visualization in Mermaid/D2.

Workflow

  1. Project scan — Tree view, line counts, language distribution, file size outliers.
  2. Dependency graph — Resolve imports/requires across modules; detect circular dependencies; list external deps with versions.
  3. Cohesion & coupling — Score each module: how focused its internals are (cohesion) and how tightly bound to others (coupling).
  4. Tech debt signals — Scan for TODO/FIXME/HACK density, outdated dependency alerts, low comment-to-code ratio.
  5. Dead code detection — Find unreferenced functions, classes, variables; flag large commented-out blocks.
  6. Health scorecard — 5-dimension score per module: Cohesion, Coupling, Maintainability, Coverage estimate, Tech debt.
  7. Visualization — Generate dependency diagram in Mermaid (graph TD) or D2 format.
  8. Report — Produce project health summary with ranked refactoring priorities.

Sample Prompts

  • codebase-radar scan --path ./my-project --format json > report.json
  • codebase-radar scan --path ./my-project --visual mermaid --output deps.md
  • codebase-radar health --path ./my-project --score-only --json
  • codebase-radar deadcode --path ./src --exclude tests/

Safety

  • Read-only scanner; never modifies source files.
  • Language-agnostic for import detection; language-specific analyzers are opt-in.
  • Large repos may require --max-files limit to avoid memory issues.

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