What are the five layers of validation used in this skill?

The five layers include Entry Point Validation (API boundary), Business Logic Validation, Environment Guards (context-specific), Shannon Validation Gates (3-tier checks), and Debug Instrumentation for forensics.

How is defense coverage measured?

The skill provides quantitative metrics tracked in Serena, calculating the percentage of implemented layers and their specific effectiveness in catching bypass attempts during testing.

What are Shannon Validation Gates?

Shannon Validation Gates are a 3-tier system (Flow, Artifact, and Functional) used at critical checkpoints to verify system state using real systems rather than mocks for the highest level of assurance.

How does this differ from standard input validation?

Unlike single-point validation which can be bypassed by different code paths or mocks, this skill enforces checks at every stage data passes through, making it structurally impossible for invalid data to cause deep execution failures.

Defense-in-Depth Validation

Name: Defense-in-Depth Validation
Author: krzemienski

bykrzemienski

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Security & Testing

Implements multi-layered data validation and Shannon validation gates to eliminate bugs structurally across every system layer.

The Defense-in-Depth skill provides a robust architectural pattern for validating data across five distinct layers—API boundaries, business logic, environment guards, Shannon-specific validation gates, and debug instrumentation. By ensuring validation occurs at every stage of data flow, this skill helps developers move beyond simple bug fixes toward creating systems where specific failure modes are structurally impossible. It integrates with the Shannon Framework's quantitative tracking to provide measurable, verifiable proof of system stability and security without relying on mocks for critical functional checks.

Key Features

01Quantitative defense coverage tracking and effectiveness metrics

02Five-layer validation architecture (Entry, Business, Environment, Gates, Debug)

03Environment-specific guards to prevent dangerous context-specific operations

041 GitHub stars

05Shannon 3-tier validation gate integration (Flow, Artifact, Functional)

06Automated forensic logging and pattern learning via Serena persistence

Use Cases

01Establishing a verifiable 'impossible bug' architecture for high-stakes production environments

02Preventing critical data corruption by validating inputs at every system boundary

03Securing sensitive operations with multi-tiered validation gates that require real-system verification

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add krzemienski/shannon-framework defense-in-depth

For use in Claude.ai and ChatGPT

Download Skill