Code Complexity Scanner

Overview

This skill analyzes source code to measure cyclomatic complexity, cognitive complexity, and function length. It identifies the most complex functions and files in a codebase, helping teams focus refactoring efforts on the code that's hardest to maintain and most likely to harbor bugs.

Instructions

Step 1: Identify Target Language and Files

Detect the primary language from file extensions and package files. Filter to source code only (exclude node_modules, vendor, dist, build, pycache, .git).

Step 2: Measure Cyclomatic Complexity

For each function/method, count:

• if, elif/else if → +1 each
• for, while, do-while → +1 each
• case in switch (each case) → +1 each
• catch → +1
• &&, || in conditions → +1 each
• Ternary ?: → +1
• Base complexity starts at 1

Step 3: Measure Cognitive Complexity

More nuanced than cyclomatic — penalizes nesting:

• Each control flow break: +1
• Each nesting level: +1 additional per level
• Recursion: +1
• Boolean operator sequences that switch: +1

Step 4: Identify Hotspot Files

Rank files by:

1. Maximum function complexity in the file
2. Average complexity across all functions
3. Number of functions above threshold (default: 15)
4. Total lines of code

Step 5: Output Report

Present findings in three tiers:

• 🔴 Critical (complexity > 25): Must refactor — these functions are untestable
• 🟡 Warning (complexity 15-25): Should refactor when next modifying
• 🟢 OK (complexity < 15): Acceptable maintainability

Examples

Example 1: TypeScript Project Scan

User prompt:

Scan src/ for the most complex functions

Agent output:

Complexity Report — src/ (89 files scanned)

🔴 CRITICAL (complexity > 25)
  src/billing/calculator.ts
    calculateInvoiceTotal()     Cyclomatic: 34  Cognitive: 48  Lines: 180
    applyDiscountRules()        Cyclomatic: 26  Cognitive: 31  Lines: 95

  src/api/middleware/auth.ts
    validateAndRefreshToken()   Cyclomatic: 28  Cognitive: 35  Lines: 120

🟡 WARNING (complexity 15-25)
  src/workers/sync.ts
    reconcileRecords()          Cyclomatic: 19  Cognitive: 24  Lines: 88
  src/utils/validators.ts
    validateAddress()           Cyclomatic: 16  Cognitive: 18  Lines: 65

Summary:
  Files scanned: 89 | Functions analyzed: 412
  Average complexity: 6.8 | Median: 4
  Functions above threshold: 14 (3.4%)
  Recommended target: reduce critical functions below 15

Example 2: Python Project with Trend

User prompt:

What are the complexity hotspots in our Django app?

Agent output:

Complexity Hotspots — myapp/ (67 files)

Top 10 by Cyclomatic Complexity:
  Rank  Function                              CC   Lines  File
  1     process_order()                       38   340    views/checkout.py
  2     generate_report()                     27   210    reports/builder.py
  3     sync_inventory()                      24   180    tasks/inventory.py
  4     parse_import_file()                   22   150    importers/csv.py
  5     calculate_shipping()                  19   95     shipping/rates.py

Nesting depth violations (>4 levels):
  views/checkout.py:142    — 6 levels deep in process_order()
  reports/builder.py:89    — 5 levels deep in generate_report()

Recommended refactoring order: process_order() first (highest complexity,
most changed file per git history, 340 lines is 3x recommended max).

Guidelines

• Thresholds are configurable — default 15 works for most teams, but ask the user if they have a team standard
• Cognitive > cyclomatic for human readability — cognitive complexity better captures how hard code is to understand
• Context matters — a parser with complexity 20 might be acceptable; a controller with complexity 20 needs splitting
• Combine with change frequency — complex code that never changes is less urgent than complex code edited weekly
• Don't count generated code — exclude auto-generated files, migrations, and schema definitions
• Suggest specific refactorings — "Extract method" for long functions, "Replace conditional with polymorphism" for deep switch statements, "Introduce parameter object" for functions with 5+ parameters