create-unittest

Generate deterministic unittest.TestCase tests for changed Python logic.

Updated May 17, 2026

Search Tags:#unit testing #test generation #mocking #python unittest #regression coverage #backend/app

Ready to run

npx skills add https://github.com/cheetah-alo/NegritaOS --skill create-unittest-cheetah-alo

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Please help me install this Agent Skill.
Skill: create-unittest
Source: https://github.com/cheetah-alo/NegritaOS/tree/main/.codex/skills/create-unittest
Command: npx skills add https://github.com/cheetah-alo/NegritaOS --skill create-unittest-cheetah-alo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prevents regressions by creating deterministic, behavior-driven Python unit tests that enforce repository-specific testing standards.

Core Features & Use Cases

Unittest-first, repo-aligned tests: Generates unittest.TestCase tests with required class and method naming conventions.
Deterministic and isolated execution: Avoids real network/DB/API/file I/O by patching external boundaries and using deterministic fixtures.
Regression-ready coverage: Targets changed logic in backend services and data/ML behaviors (e.g., transformations and leakage guards) with stable assertions and clear failure modes.
Use case: After fixing a bug in a data transform that normalizes nullable numeric columns, generate a unit test that verifies the output dtype and null-handling behavior without relying on external systems.

Quick Start

Use the create-unittest skill to produce a tests/test_<component>.py file that validates the expected behavior of your changed backend or analytics function using mocked external dependencies.

Frequently Asked Questions about create-unittest

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate Python unittests that prevent regressions in backend logic?▼

To generate Python unittests that prevent regressions, create deterministic unittest.TestCase structures with behavior-driven assertions, strict isolation from network/DB/API/file I/O, and mocked external boundaries using stable fixtures.

What is unittest-first coverage for changed Python logic?▼

Unittest-first coverage for changed Python logic is a regression-ready testing approach that targets modified backend modules and data transformations with deterministic assertions and clear failure modes aligned to repository standards.

How do I mock external dependencies for isolated Python unittests?▼

Mock external dependencies for isolated Python unittests by patching network, database, API, and file I/O boundaries at the unit level, replacing them with deterministic fixtures to ensure stable, behavior-driven assertions.

Can I use unittest.TestCase to test data analytics utilities without network access?▼

Yes, you can use unittest.TestCase to test data analytics utilities without network access by enforcing strict isolation from real network, database, API, and file I/O, and verifying behavior like output dtypes using deterministic fixtures.

What's the best way to enforce repository-specific test standards for Python unittests?▼

The best way to enforce repository-specific test standards for Python unittests is generating TestCase structures with required naming conventions, strict isolation rules, and behavior-driven assertions aligned directly to tests-unittest-standards.md.

Why does my Python unittest fail when testing data transformations with nullable columns?▼

Your Python unittest may fail when testing data transformations with nullable columns if it lacks deterministic fixtures or relies on external systems, requiring mocked I/O boundaries and stable assertions for null-handling behavior.