phantom-neural-cortex: Skill for Claude Code

.claude/skills/defense-in-depth/SKILL.md

defense-in-depth is a skill for Claude Code from LEEI1337/phantom-neural-cortex. It costs 35 tokens per session (859 once invoked), scanned A, a copy of Defense-in-Depth Validation, MIT.

A method for checking data at every layer of a program, from the incoming request to the code that uses it.

In plain words
What is it for?
Use it when bad input causes failures in different parts of an application or when one validation check could be bypassed.
Why use it?
It prevents invalid data from travelling deep into the program, where the resulting error can be harder to understand and fix.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is LEEI1337/phantom-neural-cortex's own configuration. It tells Claude Code how to work on phantom-neural-cortex itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything phantom-neural-cortex configures →

Reuse

Borrowing it

Nothing to install: this file belongs to LEEI1337/phantom-neural-cortex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/LEEI1337/phantom-neural-cortex/master/.claude/skills/defense-in-depth/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/LEEI1337/phantom-neural-cortex

Made for: Claude Code.

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/leei1337/phantom-neural-cortex/defense-in-depth/github.svg)](https://agentmods.dev/skills/leei1337/phantom-neural-cortex/defense-in-depth)
Your own site
<a href="https://agentmods.dev/skills/leei1337/phantom-neural-cortex/defense-in-depth"><img src="https://agentmods.dev/badge/skills/leei1337/phantom-neural-cortex/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/leei1337/phantom-neural-cortex/defense-in-depth"><img src="https://agentmods.dev/badge/skills/leei1337/phantom-neural-cortex/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 859 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 89% 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 $0.00859
Opus 5 $0.00017 $0.00430
Sonnet 5 $0.00007 $0.00172
Haiku 4.5 $0.00003 $0.00086

Measured 10d ago against content hash 7f4f533e6c37, 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 10d 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

89% identical to Defense-in-Depth Validation — 7 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.

.claude/skills/defense-in-depth/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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
}

Read the full file on GitHub · 128 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. 10d ago First seen · 128 lines · 35 tokens per session scan A 7f4f533e6c37

Subscribe to this mod's changes

defense-in-depth is a skill published in the GitHub repository LEEI1337/phantom-neural-cortex (5 stars, last pushed 6mo ago), licensed MIT. It adds 35 tokens to every session and 859 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to Defense-in-Depth Validation, differing in 7 lines, and is treated as a copy.