How does this differ from standard input validation?

Standard validation often relies on a single check at the API boundary which can be bypassed by internal calls or mocks; this skill ensures redundancy across all system layers to catch edge cases at the most relevant point.

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

Use it when fixing bugs caused by invalid data that results in failures deep within the execution stack, or when performing high-risk operations like database migrations or file system changes.

What are the four layers of validation this skill implements?

The skill focuses on Layer 1: Entry Point (API boundaries), Layer 2: Business Logic (contextual sense), Layer 3: Environment Guards (context-specific safety), and Layer 4: Debug Instrumentation (forensic logging).

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 make bugs structurally impossible to reproduce rather than just fixing a single point of failure.

Defense-in-Depth Validation

Name: Defense-in-Depth Validation
Author: samjhecht

bysamjhecht

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Seguridad y Pruebas

Implements multi-layered validation strategies to prevent deep-execution failures and make bugs structurally impossible.

The Defense-in-Depth skill empowers Claude to go beyond surface-level bug fixes by enforcing a rigorous, four-layer validation pattern across software architectures. It guides the implementation of data checks at entry points, within business logic, through environment guards, and via debug instrumentation. This approach ensures that even if one validation layer is bypassed by refactoring, mocks, or different code paths, subsequent layers catch invalid data, effectively hardening the codebase and providing an audit trail for complex data-flow failures.

Características Principales

011 GitHub stars

02Automated debug instrumentation for improved forensics

03Context-aware environment guards for dangerous operations

04Structural bug prevention through data flow tracing

05Standardized audit logging for applied security patterns

06Multi-layered validation mapping (Entry, Business, Environment, Debug)

Casos de Uso

01Preventing accidental file system operations or destructive commands in restricted environments

02Hardening complex API boundaries against malformed data and edge cases

03Refactoring legacy code to improve system reliability and debuggability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add samjhecht/wrangler defense-in-depth

For use in Claude.ai and ChatGPT

Download Skill