Is this skill suitable for TDD?

Absolutely. It includes specific implementation patterns for writing failing tests first and verifying fixes through the entire multi-layer pipeline.

How does this skill handle validation failures?

It provides specific recovery procedures for each layer, ensuring that if a linting error or unit test fails, the process stops immediately for a fix before proceeding to heavier tests.

Can I use custom testing frameworks with this skill?

Yes, the skill allows you to configure specific commands (e.g., npm, pytest, go test) for each of the four validation layers to match your project's stack.

What are the four layers of validation in this skill?

The strategy utilizes Layer 1: Type/Syntax, Layer 2: Unit Tests, Layer 3: Integration Tests, and Layer 4: End-to-End scenarios to catch bugs at every level of the stack.

Defense-in-Depth Validation

Name: Defense-in-Depth Validation
Author: a-ariff

bya-ariff

Security & Testing

Implements a multi-layered validation strategy to catch bugs through sequential syntax, unit, integration, and end-to-end testing cycles.

About

The Defense-in-Depth skill provides a rigorous framework for code validation within Claude Code, emphasizing a systematic 'four-layer' approach to quality assurance. By enforcing a pipeline that moves from static analysis and unit tests to integration and end-to-end scenarios, it ensures that no single point of failure allows a bug to reach production. This skill is particularly useful for complex refactoring, feature implementation, and regression testing, offering structured implementation patterns and recovery procedures that guide Claude in maintaining high-integrity codebases.

Key Features

0 GitHub stars
Layer-specific recovery procedures and failure diagnostics
Structured implementation patterns for bug fixes and new features
Integration with pre-action verifiers and boundary checkers
Four-layer validation pipeline (Syntax, Unit, Integration, E2E)
Customizable command configuration for project-specific tooling

Use Cases

Enforcing Test-Driven Development (TDD) patterns for systematic bug resolution
Standardizing automated testing workflows across distributed development teams
Ensuring zero-regression deployments during major architectural refactoring

About

Key Features

0 GitHub stars
Layer-specific recovery procedures and failure diagnostics
Structured implementation patterns for bug fixes and new features
Integration with pre-action verifiers and boundary checkers
Four-layer validation pipeline (Syntax, Unit, Integration, E2E)
Customizable command configuration for project-specific tooling

Use Cases

Enforcing Test-Driven Development (TDD) patterns for systematic bug resolution
Standardizing automated testing workflows across distributed development teams
Ensuring zero-regression deployments during major architectural refactoring