Can I customize the test commands used by the skill?

Yes, the skill allows you to configure specific commands for linting, type-checking, unit tests, and integration suites to match your project's tech stack.

Does it support Test-Driven Development (TDD)?

Absolutely. It includes specific implementation patterns for writing failing tests first, implementing the fix, and then running full regression checks.

How does Defense in Depth improve code quality?

It enforces a hierarchy of independent validation layers—from static analysis to E2E scenarios—ensuring that bugs missed by one layer are caught by the next before they reach production.

What happens if a validation layer fails?

The skill provides specific recovery procedures for each layer, helping you diagnose if the issue is a syntax error, a logic regression, or a broken API contract.

When is the best time to use this skill?

You should use it whenever making changes to code or fixing bugs, especially when you need to ensure that new logic doesn't break existing system interfaces.

Defense in Depth

Name: Defense in Depth
Author: a-ariff

bya-ariff

•

Seguridad y Pruebas

Implements a multi-layered validation strategy to identify and resolve bugs across syntax, logic, and integration phases before deployment.

Acerca de

The Defense in Depth skill transforms Claude's development process by enforcing a rigorous, four-layer validation pipeline. It moves beyond simple coding by requiring static analysis, unit testing, integration verification, and end-to-end user scenario checks for every change. This systematic approach ensures that edge cases are caught early, regressions are prevented through automated recovery procedures, and final outputs align perfectly with project requirements, making it an essential tool for building mission-critical, production-ready software.

Características Principales

Four-layer validation pipeline covering Syntax, Unit, Integration, and E2E tests
Configurable layer-specific commands for custom project environments
Seamless integration with pre-action and boundary-checker agents
Standardized recovery procedures for specific layer failures
1 GitHub stars
Automated regression check workflows for reliable bug fixing

Casos de Uso

Validating complex refactors to ensure no unintended breaking changes occur
Automating the test-driven bug-fixing cycle with mandatory regression checks
Hardening production-grade features through full-stack integration and E2E verification

Acerca de

Características Principales

Four-layer validation pipeline covering Syntax, Unit, Integration, and E2E tests
Configurable layer-specific commands for custom project environments
Seamless integration with pre-action and boundary-checker agents
Standardized recovery procedures for specific layer failures
1 GitHub stars
Automated regression check workflows for reliable bug fixing

Casos de Uso

Validating complex refactors to ensure no unintended breaking changes occur
Automating the test-driven bug-fixing cycle with mandatory regression checks
Hardening production-grade features through full-stack integration and E2E verification