Why is a single validation point insufficient?

A single check can be bypassed by different code paths, internal refactoring, or mocks during testing. Multi-layer validation ensures safety regardless of how the code is invoked.

What is the defense-in-depth pattern?

It is a strategy where data is validated at every layer of an application—entry point, business logic, environment, and debug—to ensure bugs are structurally impossible rather than just caught.

What are the four layers of validation used here?

The four layers are Entry Point (API boundaries), Business Logic (operational sense), Environment Guards (context-specific safety), and Debug Instrumentation (forensic context).

How does this skill improve AI-generated code?

It provides the AI with a framework to go beyond simple input checking, guiding it to add environment guards and debug instrumentation that make the final code more resilient.

Defense-in-Depth Validation

Name: Defense-in-Depth Validation
Author: LerianStudio

byLerianStudio

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セキュリティとテスト

Enforces multi-layer validation patterns to make software bugs structurally impossible by verifying data at every architectural boundary.

概要

The Defense-in-Depth skill provides a robust framework for implementing multi-layered security and reliability guards within your codebase. Instead of relying on a single validation point that can be bypassed by refactoring, mocks, or alternative code paths, this skill guides the implementation of checks at the entry point, business logic, environment, and debug layers. By enforcing validation at every layer data passes through, it ensures that invalid states are caught immediately and that critical system operations remain protected against structural misuse.

主な機能

Structural bug prevention strategies
17 GitHub stars
Forensics-ready debug instrumentation patterns
Data flow tracing and checkpoint mapping
Multi-layer validation enforcement (Entry, Logic, Environment, Debug)
Environment-specific safety guards

ユースケース

Preventing dangerous file system operations in sensitive environments
Hardening critical business logic against bypassed entry points
Ensuring data integrity across complex service refactors and mocks

概要

主な機能

Structural bug prevention strategies
17 GitHub stars
Forensics-ready debug instrumentation patterns
Data flow tracing and checkpoint mapping
Multi-layer validation enforcement (Entry, Logic, Environment, Debug)
Environment-specific safety guards

ユースケース

Preventing dangerous file system operations in sensitive environments
Hardening critical business logic against bypassed entry points
Ensuring data integrity across complex service refactors and mocks