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Test generator

Skill Data-Wise/craft/skills/testing/test-generator

This skill should be used when the user asks to "generate tests", "create CLI tests", "add dogfooding tests", "create plugin validation tests", or needs automated and interactive test suites for a project. Generates dogfooding test suites (automated + interactive) for any project type.From its SKILL.md

Install
npx -y skills add Data-Wise/craft --skill test-generator

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One thing to look at

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SKILL.md

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Test Generator Skill

Generates dogfooding test suites (automated + interactive) for any project type.

When to Use

Use this skill when:

  • Setting up CLI tests for a new project
  • Creating plugin validation tests
  • Generating interactive QA test suites
  • Need both automated and manual test coverage
  • Want consistent test patterns across projects

Capabilities

Project Type Detection

Automatically detects project type and generates appropriate tests:

Project TypeDetectionTest Focus
CLI Toolpyproject.toml + CLI entryCommands, subcommands, exit codes, help
Claude Plugin.claude-plugin/plugin.jsonStructure, commands, skills, agents
Python Librarypyproject.toml (no CLI)Module imports, API surface
Node Packagepackage.json + binCLI commands, npm scripts
R PackageDESCRIPTIONPackage structure, exports
Shell Scripts*.sh filesScript execution, options

Test Suite Generation

Generates two complementary test suites:

1. Automated Tests (automated-tests.sh)

  • Non-interactive, CI-ready
  • Exit code validation
  • Output pattern matching
  • Structure validation
  • Runs in < 60 seconds

2. Interactive Tests (interactive-tests.sh)

  • Human-guided QA
  • Expected vs actual comparison
  • Single-key responses (y/n/q)
  • Logging to tests/cli/logs/
  • Visual output validation

Test Categories by Project Type

CLI Tools:

  • Smoke tests (version, help, aliases)
  • Core commands (each subcommand)
  • Error handling (invalid commands)
  • Exit codes (success/failure)
  • Help accessibility

Claude Plugins:

  • Plugin structure (plugin.json)
  • Directory structure (commands/, skills/, agents/)
  • File counts and validity
  • Markdown syntax validation
  • Cross-reference checks

Libraries:

  • Import validation
  • API surface coverage
  • Module structure
  • Documentation presence

Usage

Basic Generation

Generate CLI tests for this project

With Options

Generate dogfooding tests:
- Project: ~/projects/my-tool
- Include interactive tests
- Add CI integration

Specific Project Types

Create plugin validation tests for craft
Create CLI tests for aiterm
Create package tests for my-r-package

Output Structure

tests/
└── cli/
    ├── README.md              # Test documentation
    ├── automated-tests.sh     # CI-ready automated tests
    ├── interactive-tests.sh   # Human-guided QA tests
    └── logs/                  # Test execution logs
        └── interactive-test-YYYYMMDD-HHMMSS.log

Test Script Features

Automated Tests

# Colors and formatting
✅ PASS: Test description
❌ FAIL: Test description → Error details
⏭️  SKIP: Test description

# Sections
━━━ Section Name ━━━

# Summary
═══════════════════════════
  RESULTS
═══════════════════════════
  Passed:  15
  Failed:  0
  Total:   15

✅ ALL TESTS PASSED

Interactive Tests

TEST 1/15: Version Check
  Command: tool --version

EXPECTED: Version string (e.g., 'tool 1.0.0')

ACTUAL:
tool version 1.0.0

[y=pass, n=fail, q=quit]

Integration

Works with:

  • /craft:test - Execute generated tests
  • /craft:ci:local - Add to CI pipeline
  • test-strategist skill - Test strategy guidance

Example Prompts

"Generate CLI tests for my Python tool"
"Create plugin validation tests"
"Add dogfooding tests like aiterm has"
"Set up automated + interactive tests for this project"
"Generate tests and add to GitHub Actions"

Customization

Tests can be customized after generation:

  • Add project-specific test cases
  • Modify expected outputs
  • Adjust test categories
  • Add environment-specific tests

Keep looking

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