defense-in-depth

Name: defense-in-depth
Availability: InStock
Author: ed3dai

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

5|1|Updated Jan 26, 2026

Search Tags:#debugging #validation #defense-in-depth #data-integrity #software-quality #layered-validation #architecture-pattern

Ready to run

npx skills add https://github.com/ed3dai/ed3d-plugins-testing --skill defense-in-depth-ed3dai

💬 Prompt for ChatGPT / Claude Chat▼

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.