defense-in-depth

Validate data across entry points, business logic, and environment guards.

Updated Jan 9, 2026
One-click install
npx skills add https://github.com/maplin-co/ai-course --skill defense-in-depth-maplin-co
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: defense-in-depth
Source: https://github.com/maplin-co/ai-course/tree/main/.opencode/skill/defense-in-depth
Command: npx skills add https://github.com/maplin-co/ai-course --skill defense-in-depth-maplin-co

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses bugs caused by invalid data that slip through single validation points, ensuring data integrity by validating at every layer of execution.

Core Features & Use Cases

  • Multi-Layered Validation: Implements checks at entry points, business logic, and environment guards.
  • Structural Bug Prevention: Makes data-related bugs impossible to reproduce by enforcing validation across the entire data flow.
  • Forensic Debugging: Includes debug instrumentation to capture context when other layers fail.
  • Use Case: When fixing a bug where an empty projectDir caused git init in the wrong location, this skill ensures that such an error is caught at multiple stages, preventing it from ever reaching the critical git init command.

Quick Start

Apply the defense-in-depth pattern to ensure all data is validated at every layer of execution.

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 bugs caused by invalid data slipping through a single validation check?

Multi-layered data validation prevents bugs caused by invalid data slipping through single validation points by enforcing checks at entry points, business logic, and environment guards to ensure data integrity across every layer of execution.

What is defense in depth in software engineering and when do I need it?

Defense in depth is a software engineering pattern that enforces data validation across multiple system layers to make data-related bugs structurally impossible. You need it when fixing bugs where invalid data, like an empty directory path, causes critical operations to fail.

How do I add validation checks across multiple system layers for structural bug prevention?

To add validation checks across multiple system layers, implement multi-layered validation at entry points, business logic, and environment guards. This structural bug prevention approach ensures invalid data is caught at multiple stages before reaching critical commands.

How do I implement environment-specific safeguards and debug logging for error handling?

Implement environment-specific safeguards and debug logging by applying multi-layered validation checks with forensic debug instrumentation. This captures execution context when validation layers fail, ensuring robust error handling and detailed debugging across the data flow.

Does multi-layered data validation work without external dependencies?

Yes, multi-layered data validation works without external dependencies. The defense in depth pattern applies validation checks across system layers using only internal references, requiring no additional modules or libraries to enforce data integrity and prevent bugs.