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Defense In Depth

Organization
ed3dai
defense-in-depth

Use when invalid data causes failures deep in execution - validates at every layer data passes through to make bugs structurally impossible rather than temporarily fixed

Overview

Publishered3dai
Repositoryed3d-plugins
Skill namedefense-in-depth
Stars
249
Forks
33
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ed3dai on GitHub. Read the source before you install it.

Installation

Install the Defense In Depth AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ed3dai/ed3d-plugins.git /tmp/ed3d-plugins
mkdir -p .claude/skills
cp -r /tmp/ed3d-plugins/plugins/ed3d-house-style/skills/defense-in-depth .claude/skills/defense-in-depth
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Defense In Depth in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Defense In Depth on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Defense In Depth is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

When to Use

Use when:

  • Invalid data caused a bug deep in the call stack
  • Data crosses system boundaries (API → service → storage)
  • Multiple code paths can reach the same vulnerable code
  • Tests mock intermediate layers (bypassing validation)

Don't use when:

  • Pure internal function with single caller (validate at caller)
  • Data already validated by framework/library you trust
  • Adding validation would duplicate identical checks at adjacent layers

The Four Layers

Layer 1: Entry Point Validation

Purpose: Reject invalid input at API/system boundary

typescript
function createProject(name: string, workingDirectory: string) {
  if (!workingDirectory?.trim()) {
    throw new Error('workingDirectory cannot be empty');
  }
  if (!existsSync(workingDirectory)) {
    throw new Error(`workingDirectory does not exist: ${workingDirectory}`);
  }
  // ... proceed
}

When needed: Always. This is your first line of defense.

Layer 2: Business Logic Validation

Purpose: Ensure data makes sense for this specific operation

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

When needed: When business rules differ from entry validation, or when mocks might bypass Layer 1.

Layer 3: Environment Guards

Purpose: Prevent dangerous operations in specific contexts

typescript
async function gitInit(directory: string) {
  if (process.env.NODE_ENV === 'test') {
    const normalized = normalize(resolve(directory));
    if (!normalized.startsWith(tmpdir())) {
      throw new Error(`Refusing git init outside temp dir in tests: ${directory}`);
    }
  }
  // ... proceed
}

When needed: When operation is destructive/irreversible, especially in test environments.

Layer 4: Debug Instrumentation

Purpose: Capture context for forensics when other layers fail

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

When needed: When debugging is difficult, or when you need to trace how bad data arrived.

Decision Heuristic

SituationLayers Needed
Public API, simple validation1 only
Data crosses multiple services1 + 2
Destructive operations (delete, init, write)1 + 2 + 3
Chasing a hard-to-reproduce bug1 + 2 + 3 + 4
Tests mock intermediate layersAt minimum: 1 + 3

Applying the Pattern

When you find a bug caused by invalid data:

  1. Trace the data flow - Where does the bad value originate? Where is it used?
  2. Map checkpoints - List every function/layer the data passes through
  3. Decide which layers - Use heuristic above
  4. Add validation - Entry → business → environment → debug
  5. Test each layer - Verify Layer 2 catches what bypasses Layer 1

Quick Reference

LayerQuestion It AnswersTypical Check
EntryIs input valid?Non-empty, exists, correct type
BusinessDoes it make sense here?Required for this operation, within bounds
EnvironmentIs this safe in this context?Not in prod, inside temp dir, etc.
DebugHow did we get here?Log stack, cwd, inputs

Common Mistakes

MistakeFix
One validation point, call it doneAdd at least entry + business layers
Identical checks at adjacent layersMake each layer check something different
Environment guards only in prodAdd them in test too (prevent test pollution)
Skipping debug loggingAdd it during the bug hunt, keep it
Validation but no useful error messageInclude the bad value and expected format

Key Insight

During testing, each layer catches bugs the others miss:

  • Different code paths bypass entry validation
  • Mocks bypass business logic checks
  • Edge cases need environment guards
  • Debug logging identifies structural misuse

Don't stop at one validation point. The bug isn't fixed until it's impossible.

Frequently asked questions

What does the Defense In Depth AI skill do?

Use when invalid data causes failures deep in execution - validates at every layer data passes through to make bugs structurally impossible rather than temporarily fixed

Why use Defense In Depth on TypingMind?

Because you install it once and use it with any model. Defense In Depth is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Defense In Depth in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ed3dai/ed3d-plugins/tree/main/plugins/ed3d-house-style/skills/defense-in-depth. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Defense In Depth?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Defense In Depth?

As many as you like. As long as a model supports skills, you can use Defense In Depth with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Defense In Depth AI skill free?

It is published on GitHub by ed3dai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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