What is the core principle of the Defense-in-Depth skill?

The core principle is to validate data at every layer it passes through—entry point, business logic, environment, and debug—to ensure that bugs are structurally impossible rather than just fixed in one location.

What are the four layers of validation implemented by this skill?

The four layers are Entry Point Validation (rejecting invalid input), Business Logic Validation (ensuring logical consistency), Environment Guards (preventing context-specific dangers), and Debug Instrumentation (capturing forensics).

When should I use the Defense-in-Depth Claude Code skill?

Use this skill whenever you are fixing a bug caused by invalid data, especially if that data causes failures deep in the execution stack or involves dangerous operations like file system changes.

How does this skill differ from standard input validation?

Standard validation usually happens only at the entry point. Defense-in-Depth adds checks at every stage of execution, ensuring that even if an entry check is bypassed by a refactor or a mock, the system remains protected.

Defense-in-Depth Validation

Name: Defense-in-Depth Validation
Author: vinceh

byvinceh

Seguridad y Pruebas

Implements multi-layered data validation across system boundaries to make software bugs structurally impossible to reproduce.

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The Defense-in-Depth skill provides a robust framework for Claude to handle invalid data failures by applying validation at every architectural layer. By moving beyond single-point checks, it guides the implementation of entry point validation, business logic verification, environment-specific guards, and debug instrumentation. This approach ensures that even if one layer is bypassed via mocks or refactoring, subsequent layers catch the error, resulting in highly resilient and self-documenting codebases where critical bugs become impossible to trigger.

Características Principales

Systematic data flow tracing to identify and secure data origin points
0 GitHub stars
Multi-layer validation framework including Entry, Business, Environment, and Debug layers
Automated forensic instrumentation for enhanced debug logging and error tracing
Structural bug prevention by eliminating bypass routes in code paths
Context-aware environment guards to prevent dangerous operations in specific contexts

Casos de Uso

Hardening API endpoints against malformed input at the system boundary
Ensuring complex business logic remains valid even when unit tests use mocks
Preventing destructive operations in unauthorized directories during automated testing

Acerca de

Características Principales

Systematic data flow tracing to identify and secure data origin points
0 GitHub stars
Multi-layer validation framework including Entry, Business, Environment, and Debug layers
Automated forensic instrumentation for enhanced debug logging and error tracing
Structural bug prevention by eliminating bypass routes in code paths
Context-aware environment guards to prevent dangerous operations in specific contexts

Casos de Uso

Hardening API endpoints against malformed input at the system boundary
Ensuring complex business logic remains valid even when unit tests use mocks
Preventing destructive operations in unauthorized directories during automated testing