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defense-in-depth-validation

A methodology to secure applications by validating data at every system layer.

Install

mkdir -p .claude/skills/defense-in-depth-validation && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/1174" && unzip -o skill.zip -d .claude/skills/defense-in-depth-validation && rm skill.zip

Installs to .claude/skills/defense-in-depth-validation

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Validate at every layer data passes through to make bugs impossible
67 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Reject invalid input at API boundaries
  • Ensure data makes sense for specific operations
  • Prevent dangerous operations in specific contexts
  • Capture context for forensic analysis
  • Trace data flow to identify where bad values originate and are used
  • Add validation at entry, business logic, environment, and debug layers

How it works

The skill applies validation at four layers: entry point, business logic, environment guards, and debug instrumentation. This ensures data integrity and prevents bugs by catching invalid data at various stages.

Inputs & outputs

You give it
Invalid data causing failures deep in execution
You get back
Validation logic at multiple system layers to prevent bugs

When to use defense-in-depth-validation

  • Add entry point validation to API endpoints
  • Implement business logic validation checks
  • Secure data flow between application layers
  • Create environment-specific security guards

About this skill

Defense-in-Depth Validation

Overview

When you fix a bug caused by invalid data, adding validation at one place feels sufficient. But that single check can be bypassed by different code paths, refactoring, or mocks.

Core principle: Validate at EVERY layer data passes through. Make the bug structurally impossible.

Why Multiple Layers

Single validation: "We fixed the bug" Multiple layers: "We made the bug impossible"

Different layers catch different cases:

  • Entry validation catches most bugs
  • Business logic catches edge cases
  • Environment guards prevent context-specific dangers
  • Debug logging helps when other layers fail

The Four Layers

Layer 1: Entry Point Validation

Purpose: Reject obviously invalid input at API boundary

function createProject(name: string, workingDirectory: string) {
  if (!workingDirectory || workingDirectory.trim() === '') {
    throw new Error('workingDirectory cannot be empty');
  }
  if (!existsSync(workingDirectory)) {
    throw new Error(`workingDirectory does not exist: ${workingDirectory}`);
  }
  if (!statSync(workingDirectory).isDirectory()) {
    throw new Error(`workingDirectory is not a directory: ${workingDirectory}`);
  }
  // ... proceed
}

Layer 2: Business Logic Validation

Purpose: Ensure data makes sense for this operation

function initializeWorkspace(projectDir: string, sessionId: string) {
  if (!projectDir) {
    throw new Error('projectDir required for workspace initialization');
  }
  // ... proceed
}

Layer 3: Environment Guards

Purpose: Prevent dangerous operations in specific contexts

async function gitInit(directory: string) {
  // In tests, refuse git init outside temp directories
  if (process.env.NODE_ENV === 'test') {
    const normalized = normalize(resolve(directory));
    const tmpDir = normalize(resolve(tmpdir()));

    if (!normalized.startsWith(tmpDir)) {
      throw new Error(
        `Refusing git init outside temp dir during tests: ${directory}`
      );
    }
  }
  // ... proceed
}

Layer 4: Debug Instrumentation

Purpose: Capture context for forensics

async function gitInit(directory: string) {
  const stack = new Error().stack;
  logger.debug('About to git init', {
    directory,
    cwd: process.cwd(),
    stack,
  });
  // ... proceed
}

Applying the Pattern

When you find a bug:

  1. Trace the data flow - Where does bad value originate? Where used?
  2. Map all checkpoints - List every point data passes through
  3. Add validation at each layer - Entry, business, environment, debug
  4. Test each layer - Try to bypass layer 1, verify layer 2 catches it

Example from Session

Bug: Empty projectDir caused git init in source code

Data flow:

  1. Test setup → empty string
  2. Project.create(name, '')
  3. WorkspaceManager.createWorkspace('')
  4. git init runs in process.cwd()

Four layers added:

  • Layer 1: Project.create() validates not empty/exists/writable
  • Layer 2: WorkspaceManager validates projectDir not empty
  • Layer 3: WorktreeManager refuses git init outside tmpdir in tests
  • Layer 4: Stack trace logging before git init

Result: All 1847 tests passed, bug impossible to reproduce

Key Insight

All four layers were necessary. During testing, each layer caught bugs the others missed:

  • Different code paths bypassed entry validation
  • Mocks bypassed business logic checks
  • Edge cases on different platforms needed environment guards
  • Debug logging identified structural misuse

Don't stop at one validation point. Add checks at every layer.

How it compares

This skill implements validation at multiple system layers to make bugs structurally impossible, unlike single validation checks that can be bypassed.

Compared to similar skills

defense-in-depth-validation side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
defense-in-depth-validation (this skill)39moReviewIntermediate
security-requirement-extraction72moNo flagsIntermediate
api-fuzzing-for-bug-bounty96moReviewAdvanced
secure-workflow-guide32moNo flagsAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

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