mutation-testing

Validate test effectiveness with mutation testing using Stryker (TypeScript/JavaScript) and mutmut (Python). Find weak tests that pass despite code mutations. Use to improve test quality.

Install with Tessl CLI

npx tessl i github:secondsky/claude-skills --skill mutation-testing

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SKILL.md

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Mutation Testing

Expert knowledge for mutation testing - validating that your tests actually catch bugs by introducing deliberate code mutations.

Core Concept

Mutants: Small code changes introduced automatically
Killed: Test fails with mutation (good - test caught the bug)
Survived: Test passes with mutation (bad - weak test)
Score: Percentage of mutants killed (aim for 80%+)

TypeScript/JavaScript (Stryker)

Installation

# Using Bun
bun add -d @stryker-mutator/core @stryker-mutator/vitest-runner

# Using npm
npm install -D @stryker-mutator/core @stryker-mutator/vitest-runner

Configuration

// stryker.config.mjs
export default {
  packageManager: 'bun',
  reporters: ['html', 'clear-text', 'progress'],
  testRunner: 'vitest',
  coverageAnalysis: 'perTest',
  mutate: ['src/**/*.ts', '!src/**/*.test.ts'],
  thresholds: { high: 80, low: 60, break: 60 },
  incremental: true,
}

Running Stryker

# Run mutation testing
bunx stryker run

# Incremental mode (only changed files)
bunx stryker run --incremental

# Specific files
bunx stryker run --mutate "src/utils/**/*.ts"

# Open HTML report
open reports/mutation/html/index.html

Example: Weak Test

// Source code
function calculateDiscount(price: number, percentage: number): number {
  return price - (price * percentage / 100)
}

// ❌ WEAK: Test passes even if we mutate calculation
test('applies discount', () => {
  expect(calculateDiscount(100, 10)).toBeDefined() // Too weak!
})

// ✅ STRONG: Test catches mutation
test('applies discount correctly', () => {
  expect(calculateDiscount(100, 10)).toBe(90)
  expect(calculateDiscount(100, 20)).toBe(80)
  expect(calculateDiscount(50, 10)).toBe(45)
})

Python (mutmut)

Installation

uv add --dev mutmut

Running mutmut

# Run mutation testing
uv run mutmut run

# Show results
uv run mutmut results

# Show specific mutant
uv run mutmut show 1

# Generate HTML report
uv run mutmut html
open html/index.html

Common Mutation Types

// Arithmetic Operator
// Original: a + b → a - b, a * b, a / b

// Relational Operator
// Original: a > b → a >= b, a < b, a <= b

// Logical Operator
// Original: a && b → a || b

// Boolean Literal
// Original: true → false

Mutation Score Targets

Score	Quality	Action
90%+	Excellent	Maintain quality
80-89%	Good	Small improvements
70-79%	Acceptable	Focus on weak areas
< 60%	Poor	Major improvements needed

Improving Weak Tests

Pattern: Insufficient Assertions

// Before: Mutation survives
test('calculates sum', () => {
  expect(sum([1, 2, 3])).toBeGreaterThan(0) // Weak!
})

// After: Mutation killed
test('calculates sum correctly', () => {
  expect(sum([1, 2, 3])).toBe(6)
  expect(sum([0, 0, 0])).toBe(0)
  expect(sum([])).toBe(0)
})

Pattern: Boundary Conditions

// After: Tests boundaries
test('validates age boundaries', () => {
  expect(isValidAge(18)).toBe(true)   // Min valid
  expect(isValidAge(17)).toBe(false)  // Just below
  expect(isValidAge(100)).toBe(true)  // Max valid
  expect(isValidAge(101)).toBe(false) // Just above
})

Best Practices

Start with core business logic modules
Ensure 80%+ coverage before mutation testing
Run incrementally (only changed files)
Focus on important files first
Don't expect 100% mutation score (equivalent mutants exist)

Workflow

# 1. Ensure good coverage first
bun test --coverage
# Target: 80%+ coverage

# 2. Run mutation testing
bunx stryker run

# 3. Check report
open reports/mutation/html/index.html

# 4. Fix survived mutants
# 5. Re-run incrementally
bunx stryker run --incremental
# or: npx stryker run --incremental