Table of Contents

• Quick Start
• When to Use
• Required TodoWrite Items
• Progressive Loading
• Workflow
• Step 1: Detect Languages (test-review:languages-detected)
• Step 2: Inventory Coverage (test-review:coverage-inventoried)
• Step 3: Assess Scenario Quality (test-review:scenario-quality)
• Step 4: Plan Remediation (test-review:gap-remediation)
• Step 5: Log Evidence (test-review:evidence-logged)
• Test Quality Checklist (Condensed)
• Output Format
• Summary
• Framework Detection
• Coverage Analysis
• Quality Issues
• Remediation Plan
• Recommendation
• Integration Notes
• Exit Criteria

Test Review Workflow

Evaluate and improve test suites with TDD/BDD rigor.

Quick Start

/test-review

Verification: Run pytest -v to verify tests pass.

When To Use

• Reviewing test suite quality
• Analyzing coverage gaps
• Before major releases
• After test failures
• Planning test improvements

When NOT To Use

• Writing new tests - use parseltongue:python-testing
• Updating existing tests - use sanctum:test-updates

Required TodoWrite Items

1. test-review:languages-detected
2. test-review:coverage-inventoried
3. test-review:scenario-quality
4. test-review:gap-remediation
5. test-review:evidence-logged

Progressive Loading

Load modules as needed based on review depth:

• Basic review: Core workflow (this file)
• Framework detection: Load modules/framework-detection.md
• Coverage analysis: Load modules/coverage-analysis.md
• Quality assessment: Load modules/scenario-quality.md
• Remediation planning: Load modules/remediation-planning.md

Workflow

Step 1: Detect Languages (test-review:languages-detected)

Identify testing frameworks and version constraints. → See: modules/framework-detection.md

Quick check:

find . -maxdepth 2 -name "Cargo.toml" -o -name "pyproject.toml" -o -name "package.json" -o -name "go.mod"

Verification: Run the command with --help flag to verify availability.

Step 2: Inventory Coverage (test-review:coverage-inventoried)

Run coverage tools and identify gaps. → See: modules/coverage-analysis.md

Quick check:

git diff --name-only | rg 'tests|spec|feature'

Verification: Run pytest -v to verify tests pass.

Step 3: Assess Scenario Quality (test-review:scenario-quality)

Evaluate test quality using BDD patterns and assertion checks. → See: modules/scenario-quality.md

Focus on:

• Given/When/Then clarity
• Assertion specificity
• Anti-patterns (dead waits, mocking internals, repeated boilerplate)

Step 4: Plan Remediation (test-review:gap-remediation)

Create concrete improvement plan with owners and dates. → See: modules/remediation-planning.md

Step 5: Log Evidence (test-review:evidence-logged)

Record executed commands, outputs, and recommendations. → See: imbue:proof-of-work

Test Quality Checklist (Condensed)

• Clear test structure (Arrange-Act-Assert)
• Critical paths covered (auth, validation, errors)
• Specific assertions with context
• No flaky tests (dead waits, order dependencies)
• Reusable fixtures/factories

Output Format

## Summary
[Brief assessment]

## Framework Detection
- Languages: [list] | Frameworks: [list] | Versions: [constraints]

## Coverage Analysis
- Overall: X% | Critical: X% | Gaps: [list]

## Quality Issues
[Q1] [Issue] - Location - Fix

## Remediation Plan
1. [Action] - Owner - Date

## Recommendation
Approve / Approve with actions / Block

Verification: Run the command with --help flag to verify availability.

Integration Notes

• Use imbue:proof-of-work for reproducible evidence capture
• Reference imbue:diff-analysis for risk assessment
• Format output using imbue:structured-output patterns

Exit Criteria

• Frameworks detected and documented
• Coverage analyzed and gaps identified
• Scenario quality assessed
• Remediation plan created with owners and dates
• Evidence logged with citations

Troubleshooting

Common Issues

Tests not discovered Ensure test files match pattern test_*.py or *_test.py. Run pytest --collect-only to verify.

Import errors Check that the module being tested is in PYTHONPATH or install with pip install -e .

Async tests failing Install pytest-asyncio and decorate test functions with @pytest.mark.asyncio