When should I run each validation layer?

Layer 1 should run on every save/commit, Layer 2 after any logic change, Layer 3 after unit tests pass, and Layer 4 before claiming a task is complete.

How does this skill help with bug fixes?

It provides a specific pattern: write a failing test first, implement the fix, run full regressions, and verify the original symptom is resolved across all layers.

What are the four layers of validation included in this skill?

The layers consist of Layer 1: Type/Syntax (linting), Layer 2: Unit Tests (logic), Layer 3: Integration Tests (interfaces), and Layer 4: End-to-End (user workflows).

Can I customize the testing commands used in the pipeline?

Yes, the skill allows you to configure specific commands for each layer—such as npm scripts or custom shell commands—to match your project's specific tech stack.

What is the main goal of the Defense in Depth skill?

It aims to catch bugs at multiple stages of the development process by applying independent validation layers, ensuring that errors missed by one check are caught by another.

Defense in Depth Validation

Name: Defense in Depth Validation
Author: a-ariff

bya-ariff

Security & Testing

Implements a multi-layered testing and validation framework to catch bugs across syntax, logic, integration, and user workflows.

About

This skill provides a robust framework for implementing 'Defense in Depth' within the development lifecycle, ensuring that code changes pass through four rigorous validation layers before completion. By organizing checks into Type/Syntax, Unit Tests, Integration Tests, and End-to-End scenarios, it prevents regressions and logic errors from reaching production. It is particularly valuable for maintaining high code quality in complex applications where a single failure point could result in critical system downtime.

Key Features

Structured bug-fixing workflows using test-driven development patterns
Multi-layered validation pipeline covering four distinct testing depths
Configurable command execution for custom linting and testing suites
0 GitHub stars
Automated recovery procedures for addressing failures at specific layers
Integration with checker agents to validate assumptions and scope boundaries

Use Cases

Establishing standardized validation protocols for local development and CI/CD preparation
Ensuring bug fixes don't introduce regressions through a 'fail-first' test approach
Validating complex feature implementations across the entire application stack

About

Key Features

Structured bug-fixing workflows using test-driven development patterns
Multi-layered validation pipeline covering four distinct testing depths
Configurable command execution for custom linting and testing suites
0 GitHub stars
Automated recovery procedures for addressing failures at specific layers
Integration with checker agents to validate assumptions and scope boundaries

Use Cases

Establishing standardized validation protocols for local development and CI/CD preparation
Ensuring bug fixes don't introduce regressions through a 'fail-first' test approach
Validating complex feature implementations across the entire application stack