Compétences unit-testing-test-generate
📦

unit-testing-test-generate

Sûr

Generate comprehensive unit tests automatically

Writing unit tests manually is time-consuming and error-prone. This skill automates test generation across multiple languages and frameworks with edge case coverage and proper mocking.

Prend en charge: Claude Codex Code(CC)
🥉 74 Bronze
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Tester

Utilisation de "unit-testing-test-generate". Generate pytest tests for a calculator module with add, subtract, multiply functions

RĂ©sultat attendu:

Test file with TestCalculator class containing parametrized tests for each operation, edge cases for zero and negative numbers, and type error handling

Utilisation de "unit-testing-test-generate". Create Jest tests for an async API client with mock fetch

RĂ©sultat attendu:

Test suite with mocked fetch responses, tests for success and error states, proper async/await patterns, and timeout handling

Audit de sécurité

Sûr
v1 • 2/25/2026

Static analysis detected 31 patterns but all are false positives. The skill is documentation-only containing code examples in markdown format. The subprocess.run pattern is legitimate test coverage functionality. Cryptographic warnings are Jest describe() functions. No executable code poses security risks.

1
Fichiers analysés
322
Lignes analysées
0
résultats
1
Total des audits
Aucun problème de sécurité trouvé
Audité par: claude

Score de qualité

38
Architecture
100
Maintenabilité
87
Contenu
50
Communauté
100
Sécurité
91
Conformité aux spécifications

Ce que vous pouvez construire

Rapid test suite creation for new projects

Quickly bootstrap comprehensive test coverage when starting a new codebase or adding tests to legacy code without existing tests.

Maintain test coverage during refactoring

Regenerate tests after significant code changes to ensure coverage remains high and edge cases are still validated.

Learn testing best practices by example

Study generated tests to understand proper mocking strategies, assertion patterns, and test organization for your framework.

Essayez ces prompts

Basic Python test generation 
Generate pytest unit tests for the Python module at ./src/utils.py. Include tests for all public functions with happy path and error cases.
JavaScript Jest test suite 
Create Jest tests for the functions in ./helpers/validation.js. Use proper mocking for external API calls and include edge cases for null and undefined inputs.
React component testing 
Generate React component tests for ./components/UserProfile.tsx using Testing Library. Test rendering, props handling, and user interactions like button clicks.
Coverage gap analysis and test generation 
Analyze coverage report from ./coverage/coverage.json and generate targeted tests for all uncovered lines in the src/models/ directory. Focus on boundary conditions and exception handling.

Bonnes pratiques

  • Always review generated tests to ensure assertions validate correct expected behavior
  • Add domain-specific edge cases that automated analysis may not detect
  • Run generated tests immediately to verify they pass before committing

Éviter

  • Do not commit generated tests without reviewing and understanding each assertion
  • Avoid generating tests for code that is rapidly changing - wait for stability
  • Do not rely solely on generated tests for security-critical or financial calculations

Foire aux questions

Which programming languages are supported?
Primary support for Python (pytest), JavaScript and TypeScript (Jest). Also covers Java (JUnit) and Go (testing package) with framework-specific patterns.
Can this skill test private methods?
The skill focuses on public API testing. Private methods should be tested indirectly through public method tests. Direct private method testing is generally not recommended.
How do I handle database dependencies in generated tests?
The skill generates mock fixtures for database connections. For integration tests requiring real databases, you will need to add database setup and teardown manually.
Will the generated tests work with my existing CI pipeline?
Yes, generated tests use standard framework conventions compatible with common CI tools like GitHub Actions, Jenkins, and GitLab CI.
How can I verify the quality of generated tests?
Run your coverage tool after executing generated tests. Aim for high statement and branch coverage. Review that assertions check meaningful conditions.
Can this skill update existing test files?
The skill generates new test code. You can manually merge generated tests with existing files or create separate test modules for new functionality.

Détails du développeur

Auteur

sickn33

Licence

MIT

DĂ©pĂ´t

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/unit-testing-test-generate

RĂ©f

main

Structure de fichiers

đź“„ SKILL.md