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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

Copy# 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

CopyCode 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)