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I-OnlabsI-Onlabs/claude-code-skills/defense-in-depth/SKILL.md

defense-in-depth

Skill4 starsChanged 15 days agoMITView on GitHub

Use when invalid data causes failures deep in execution, requiring validation at multiple system layers - validates at every layer data passes through to make bugs structurally impossible

  • Reads credentials

We split this skill into the rules it gives an agent

7 rules. 7 are common, 0 are distinctive, and 0 are very specific to this project.

  • 7

    Common

    Most of the 3 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Common:

    When you fix a bug caused by invalid data, adding validation at one place feels sufficient.

    line 10
  2. Common:

    Purpose: Ensure data makes sense for this operation

    line 46
  3. Common:

    When you find a bug:

    line 94
  4. Common:

    Test setup → empty string

    line 106
  5. Common:

    Result: All 1847 tests passed, bug impossible to reproduce

    line 117
  6. Common:

    All four layers were necessary.

    line 121
  7. Common:

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

    line 127

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
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SKILL.md

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.

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