When should I use Environment Guards?

Use them for destructive or irreversible operations, such as deleting files or initializing repositories, to prevent execution in unauthorized environments like production or outside temp directories.

Why should I validate data at multiple layers?

Single checks can be bypassed by refactoring, different code paths, or mocks in testing. Multi-layer validation ensures data integrity regardless of how the data enters the system.

Does this skill work with any programming language?

Yes, while the patterns are demonstrated in TypeScript, the principles of defense-in-depth validation are universal and apply to any software development stack.

What is the Defense-in-Depth validation pattern?

It is a strategy that validates data at every layer it passes through—Entry, Business Logic, Environment, and Debug—making bugs structurally impossible rather than just temporarily fixed.

Defense-in-Depth Validation

Name: Defense-in-Depth Validation
Author: ed3dai

byed3dai

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セキュリティとテスト

Implements multi-layered data validation strategies to prevent deep-execution bugs and ensure structural system reliability.

This skill guides Claude in applying a robust, defense-in-depth validation pattern to software projects by enforcing checks across four critical layers: Entry Point, Business Logic, Environment Guards, and Debug Instrumentation. It is designed to make bugs structurally impossible by ensuring that invalid data cannot propagate through a system, even if standard validation points are bypassed by refactoring, mocks, or alternative code paths. This approach is particularly effective for securing destructive operations and resolving complex, hard-to-trace data integrity issues.

主な機能

01Debug instrumentation for tracing data origin and forensics

02Environment-specific safety guards for destructive operations

03Heuristic-based decision mapping for optimal validation depth

04Multi-layered validation architecture (Entry, Business, Environment, Debug)

05Structural bug prevention strategies for complex data flows

065 GitHub stars

ユースケース

01Protecting destructive operations like database deletions or file system initializations

02Resolving recurring bugs in systems where data crosses multiple service boundaries

03Strengthening public APIs against edge-case invalid inputs that bypass initial checks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ed3dai/ed3d-plugins-testing defense-in-depth

For use in Claude.ai and ChatGPT

Download Skill