defense-in-depth

Validate input at every layer across API, business logic, environment, and debug checkpoints.

Updated Dec 14, 2025
One-click install
npx skills add https://github.com/pproenca/dot-claude --skill defense-in-depth-pproenca
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: defense-in-depth
Source: https://github.com/pproenca/dot-claude/tree/main/plugins/super/skills/defense-in-depth
Command: npx skills add https://github.com/pproenca/dot-claude --skill defense-in-depth-pproenca

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps prevent single points of failure by implementing multiple layers of security and validation, making systems more resilient against attacks and unexpected issues.

Core Features & Use Cases

  • Layered Security: Guides the application of security controls at different levels (network, application, data) to create robust defenses.
  • Robust Validation: Ensures data is validated at every boundary, preventing bad data from propagating and causing issues.
  • Use Case: After identifying a potential vulnerability, use this skill to design and implement multiple, independent security measures to protect against it, rather than relying on a single control.

Quick Start

I'm designing a new API endpoint. Use the defense-in-depth skill to ensure it has robust security and validation layers.

Frequently Asked Questions about defense-in-depth

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

FAQPage Schema
How do I validate data at multiple layers to prevent bugs in my API?

Multi-layer validation prevents invalid data from propagating by checking input at entry points, business logic, environment guards, and debug instrumentation. This defense-in-depth approach catches errors early and stops bad data before it corrupts system state or causes failures downstream.

What's the best way to design security controls for a new system?

Layered security applies independent controls at network, application, and data levels rather than relying on a single defense. This creates resilience: if one layer fails, others still protect against attacks and unexpected issues, reducing single points of failure.

How do I ensure data integrity across API requests and business logic?

Trace data flow through each system layer—entry point, business logic, environment, and debug instrumentation—and map validation checkpoints at each boundary. Test each layer independently to confirm data conforms to requirements before it moves deeper into the system.

When should I implement validation at the business logic layer?

Business logic validation catches data that passed entry-point checks but violates domain rules or state constraints. It works alongside API boundary validation and environment guards to ensure only correct data reaches critical operations.

Can I use this approach to harden an existing vulnerable API endpoint?

Yes. After identifying a vulnerability, design multiple independent security measures—such as input validation, rate limiting, authorization checks, and logging—rather than relying on a single control, making the endpoint significantly harder to exploit.