What are Environment Guards?

Environment Guards are specific checks that prevent dangerous operations in certain contexts, such as refusing to run a 'git init' or database wipe outside of a temporary directory during tests.

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, business, environment, and debug—to ensure bugs are structurally impossible rather than just 'fixed'.

How does this differ from standard input validation?

Standard validation often occurs only at the API edge. This skill adds redundant checks in business logic and environment guards to catch errors that might bypass initial checks due to mocks or refactoring.

Can this skill help with existing bugs?

Yes, by tracing data flow and applying the four-layer pattern, it helps identify where invalid data originates and ensures the fix is applied across the entire execution path.

Defense-in-Depth Validation

Name: Defense-in-Depth Validation
Author: jesse-spevack

byjesse-spevack

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セキュリティとテスト

Implements multi-layered data validation strategies to eliminate deep-system failures and make bugs structurally impossible.

概要

The Defense-in-Depth Validation skill equips Claude with a systematic approach to software reliability by enforcing data integrity at every architectural boundary. Instead of relying on a single validation point that can be bypassed by refactoring or mocks, this skill applies a four-layer framework: entry point validation, business logic checks, environment guards, and debug instrumentation. It is ideal for developers building mission-critical systems where invalid data propagation could lead to destructive operations or hard-to-trace runtime errors.

主な機能

Debug instrumentation for enhanced forensics and stack trace capturing
1 GitHub stars
Structural bug prevention by mapping every checkpoint data passes through
Four-layer validation framework: Entry, Business, Environment, and Debug
Environment-specific guards to prevent dangerous operations in restricted contexts
Automated data flow tracing to identify origin points of invalid input

ユースケース

Hardening API boundaries against malformed or malicious input
Refactoring complex legacy codebases to ensure consistent data integrity
Preventing destructive file system operations during automated testing

概要

主な機能

Debug instrumentation for enhanced forensics and stack trace capturing
1 GitHub stars
Structural bug prevention by mapping every checkpoint data passes through
Four-layer validation framework: Entry, Business, Environment, and Debug
Environment-specific guards to prevent dangerous operations in restricted contexts
Automated data flow tracing to identify origin points of invalid input

ユースケース

Hardening API boundaries against malformed or malicious input
Refactoring complex legacy codebases to ensure consistent data integrity
Preventing destructive file system operations during automated testing