defense-in-depth

defense-in-depth is a skill for Claude Code from bacchus-labs/wrangler. It costs 35 tokens per session (942 once invoked), scanned A, a copy of Defense-in-Depth Validation, MIT.

A validation approach that checks data at every layer it passes through, from the entry point to business logic and the surrounding environment.

In plain words
What is it for?
Use it when fixing bugs caused by bad input to add checks at API boundaries, business logic, environment-specific paths, and diagnostic points.
Why use it?
It reduces the chance that invalid data slips through one check and causes a failure deeper in the system.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the wrangler plugin — 25 skills, 16 commands, 13 agents shipped together

Good fit Use it when fixing bugs caused by bad input to add checks at API boundaries, business logic, environment-specific paths, and diagnostic points.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bacchus-labs/wrangler/defense-in-depth
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add bacchus-labs/wrangler --skill defense-in-depth
Clone the repo
git clone --depth 1 https://github.com/bacchus-labs/wrangler

Made for: Claude Code.

Or install wrangler, the plugin that ships this one along with the rest of its 25 skills, 16 commands, 13 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for defense-in-depth

README.md
[![agentmods](https://agentmods.dev/badge/skills/bacchus-labs/wrangler/defense-in-depth/github.svg)](https://agentmods.dev/skills/bacchus-labs/wrangler/defense-in-depth)
Your own site
<a href="https://agentmods.dev/skills/bacchus-labs/wrangler/defense-in-depth"><img src="https://agentmods.dev/badge/skills/bacchus-labs/wrangler/defense-in-depth/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for defense-in-depth

Your own site · 80×15
<a href="https://agentmods.dev/skills/bacchus-labs/wrangler/defense-in-depth"><img src="https://agentmods.dev/badge/skills/bacchus-labs/wrangler/defense-in-depth.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 942 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 88% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.00942
Opus 5 $0.00017 $0.00471
Sonnet 5 $0.00007 $0.00188
Haiku 4.5 $0.00003 $0.00094

Measured 11d ago against content hash 73cf920e0878, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

defense-in-depth scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

88% identical to Defense-in-Depth Validation — 24 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.wrangler/memory/knowledge-base/reference-prompts/skills/defense-in-depth/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Defense-in-Depth Validation

Skill Usage Announcement

MANDATORY: When using this skill, announce it at the start with:

🔧 Using Skill: defense-in-depth | [brief purpose based on context]

Example:

🔧 Using Skill: defense-in-depth | [Provide context-specific example of what you're doing]

This creates an audit trail showing which skills were applied during the session.

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

Read the full file on GitHub · 145 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 145 lines · 35 tokens per session scan A 73cf920e0878

Subscribe to this mod's changes

defense-in-depth is a skill published in the GitHub repository bacchus-labs/wrangler (4 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 942 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to Defense-in-Depth Validation, differing in 24 lines, and is treated as a copy.

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