/analyze-tests

name: analyze-tests
description: Analyze Python test suites for quality, coverage, and improvement opportunities.

Analyze Tests Command

Usage

Analyzes Python test suites for quality, coverage, and improvement opportunities.

Basic Usage

/analyze-tests

Analyzes tests in the current directory.

Specific Path

/analyze-tests tests/unit/

Analyzes tests in a specific directory.

What It Does

1. **Discovers Tests**: Finds all test files matching `test_*.py` or `*_test.py` 2. **Coverage Analysis**: Reports test coverage metrics 3. **Quality Assessment**: Evaluates test structure, naming, and patterns 4. **Improvement Suggestions**: Provides specific recommendations 5. **Gap Identification**: Identifies untested code paths

Analysis Categories

• **Structure**: Test organization, fixture usage, conftest patterns
• **Coverage**: Line coverage, branch coverage, missing lines
• **Quality**: Test naming, assertions, independence
• **Patterns**: AAA pattern adherence, parameterization usage
• **Performance**: Test execution time, slow test identification

Output Format

For each test module:

• Test count and coverage percentage
• Pattern compliance score
• Specific improvement recommendations
• Critical issues requiring attention

Examples

# Analyze all tests with coverage
/analyze-tests --coverage

# Focus on quality patterns
/analyze-tests --quality-only

# Generate detailed report
/analyze-tests --report detailed

Integration

Uses the `python-testing` skill's analysis tools:

• `test-analyzer`: Quality and pattern analysis
• `coverage-reporter`: Coverage metrics and gaps
• `test-runner`: Execution and timing analysis

This command helps maintain high-quality test suites that follow pytest best practices.