defense-in-depth
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
Install / Use
npx skills add Microck/ordinary-claude-skills --skill defense-in-depthInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of defense-in-depth
defense-in-depth scores 83/100 on our quality scale, 2968th of 4,598 Development & Engineering skills we index.
Its SKILL.md is 3.8 KB long, well organised into 11 sections with 4 code examples: a solid amount of guidance for an agent.
It has 399 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 30 days ago, so defense-in-depth is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
defense-in-depth compared with similar skills
All 4 of these similar skills score higher than defense-in-depth; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| defense-in-depth (this skill)by Microck | 83 | 399 | 30d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 45.1k | 1d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.8k | 6d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 14d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 14d ago | SKILL.md |
Frequently asked questions
- How do I install defense-in-depth?
- Run
npx skills add Microck/ordinary-claude-skills --skill defense-in-depth. The install tabs above show the steps for each supported agent. - Which AI agents does defense-in-depth work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is defense-in-depth safe to use?
- It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is defense-in-depth still maintained?
- The repository was last updated 30 days ago, so defense-in-depth is actively maintained.
Skill content
View source on GitHubname: defense-in-depth description: 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
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:
- Trace the data flow - Where does bad value originate? Where used?
- Map all checkpoints - List every point data passes through
- Add validation at each layer - Entry, business, environment, debug
- 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:
- Test setup → empty string
Project.create(name, '')WorkspaceManager.createWorkspace('')git initruns inprocess.cwd()
Four layers added:
- Layer 1:
Project.create()validates not empty/exists/writable - Layer 2:
WorkspaceManagervalidates projectDir not empty - Layer 3:
WorktreeManagerrefuses 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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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
