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Test Enforcer

Enforce pytest testing practices for Python FastAPI applications with 80% code coverage.

Updated Aug 27, 2026
Search Tags:#code quality#automation#testing#pytest#fastapi#regression
One-click install
npx skills add https://github.com/lwilly3/api.audace --skill test-enforcer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Test Enforcer
Source: https://github.com/lwilly3/api.audace/tree/main/.github/skills/test-enforcer
Command: npx skills add https://github.com/lwilly3/api.audace --skill test-enforcer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enforces rigorous testing standards to prevent regressions and ensure the overall quality and reliability of the codebase.

Core Features & Use Cases

  • Standardized Test Structure: Provides templates and guidelines for writing effective unit and integration tests.
  • Error Handling Validation: Ensures that API endpoints correctly handle various error conditions (401, 403, 404, 422).
  • Use Case: Before merging a new feature, run this Skill to automatically verify that all new endpoints have corresponding tests covering success, failure, and edge cases, and that the overall test coverage remains above 80%.

Quick Start

Run all pytest tests with coverage reporting enabled.

Frequently Asked Questions about Test Enforcer

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

FAQPage Schema
How do I enforce a minimum 80% test coverage requirement for FastAPI applications?▼

You enforce an 80% test coverage requirement by running pytest with coverage reporting enabled. This Skill mandates that threshold for FastAPI applications, ensuring new endpoints have tests covering success, failure, and edge cases before merging.

What is the best way to validate FastAPI error handling for 401, 403, 404, and 422 responses?▼

Validating FastAPI error handling requires dedicated integration tests for each error condition. This Skill enforces error handling validation by mandating tests that confirm endpoints correctly return 401, 403, 404, and 422 responses under specified failure conditions.

How do I structure pytest unit and integration tests to prevent code regressions?▼

Structuring pytest unit and integration tests involves using standardized templates and specific fixtures for data management. This Skill provides those test structures to enforce comprehensive regression testing practices and ensure overall codebase reliability.

Can I use pytest fixtures for data management when testing Python FastAPI code?▼

Yes, you can and should use pytest fixtures for data management. This Skill mandates fixture usage to standardize data setup across unit, integration, and regression tests, ensuring consistent and reliable test execution for FastAPI applications.

Does this testing approach work without external dependencies for Python FastAPI projects?▼

Yes, this testing approach works without external dependencies, relying solely on pytest and FastAPI. It enforces testing standards internally through specific test structures, error validation, and an 80% coverage requirement without requiring additional installed packages.

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