defense-in-depth

Enforce multi-layer data validation across entry, business logic, environment, and debugging layers.

5|1|Updated Jan 26, 2026
One-click install
npx skills add https://github.com/ed3dai/ed3d-plugins-testing --skill defense-in-depth-ed3dai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: defense-in-depth
Source: https://github.com/ed3dai/ed3d-plugins-testing/tree/main/plugins/ed3d-house-style/skills/defense-in-depth
Command: npx skills add https://github.com/ed3dai/ed3d-plugins-testing --skill defense-in-depth-ed3dai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

In software projects, bugs caused by invalid data can propagate silently across multiple layers. Defense-in-depth ensures data is validated at every layer to prevent structural bugs.

Core Features & Use Cases

  • Multi-layer validation strategy: Enforces validation at entry, business logic, environment, and debugging layers.
  • Improved reliability: Reduces risk of defects slipping through due to refactors or mocks across components.
  • Use Case: When a corrupted input could trigger failures deep in the call stack, applying this pattern helps guarantee data integrity and predictable failures.

Quick Start

Provide a project with design-documentation that defines validation at each layer and implement example checks across API boundary, business rules, and environment constraints.

Frequently Asked Questions about defense-in-depth

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

FAQPage Schema
How do I prevent invalid data from triggering failures deep in the call stack?

To prevent invalid data failures, implement multi-layer data validation across entry points, business logic, environment guards, and debugging contexts to ensure data integrity and predictable failures.

What is a defense-in-depth architecture pattern for software quality?

Defense-in-depth is an architecture pattern enforcing multi-layer data validation to stop bugs caused by invalid data propagating silently across structural components, guaranteeing improved software reliability.

How to implement layered validation across API boundaries and business rules?

Implement layered validation by defining checks in design-documentation across four layers: API boundaries, business rules, environment constraints, and debugging contexts to cover common failure paths.

Does multi-layer validation work with mocked components during refactoring?

Multi-layer validation reduces the risk of defects slipping through due to refactors or mocks across components by enforcing structural checks at every layer of your architecture.

When should I not use a layered validation strategy?

You should avoid a layered validation strategy for simple scripts lacking distinct architectural layers, as the overhead of implementing four separate validation checks provides no structural benefit.