| name | code-metrics-analyzer |
| description | Calculate code quality metrics - complexity, coverage, maintainability |
| type | skill |
| language | python |
Code Metrics Analyzer
Measure code quality through various metrics.
Capabilities
- Calculate cyclomatic complexity
- Measure code coverage
- Analyze lines of code (LOC)
- Count methods/functions per file
- Measure comment density
- Identify complex methods
- Track metrics over time
- Generate quality reports
- Find refactoring candidates
Tools
code_metrics.py - Calculate various code metrics
Metrics Calculated
- Cyclomatic Complexity - Decision point count
- Cognitive Complexity - Mental effort to understand
- LOC - Lines of code (total, code, comments, blank)
- Method Count - Methods per class/file
- Depth of Inheritance - Class hierarchy depth
- Comment Ratio - Comments vs code
- Test Coverage - Percentage tested
Commands
# Analyze project
./code_metrics.py analyze --source-dir PaleoRose
# Find complex methods
./code_metrics.py complex --threshold 10
# Generate report
./code_metrics.py report --format html
Output
Code Metrics Summary
====================
Total Files: 104
Total LOC: 15,234
Average Complexity: 4.2
Most Complex Files:
1. XRoseTableController.m (complexity: 28)
2. InMemoryStore.swift (complexity: 22)
3. DocumentModel.swift (complexity: 18)
Refactoring Candidates:
- XRoseTableController.configureController (complexity: 15)
- InMemoryStore.readFromStore (complexity: 12)