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dark-code-audit

Interview architecture, AI tool usage, ownership, and deployment to assess dark-code risks.

2|1|Updated Apr 7, 2026
Search Tags:#system architecture#risk assessment#code audit#AI code evaluation#dark code
One-click install
npx skills add https://github.com/bigeasyfreeman/adlc --skill dark-code-audit-bigeasyfreeman
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dark-code-audit
Source: https://github.com/bigeasyfreeman/adlc/tree/main/skills/dark-code-audit
Command: npx skills add https://github.com/bigeasyfreeman/adlc --skill dark-code-audit-bigeasyfreeman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identifies and assesses dark-code risks, which are code or runtime behaviors that remain unexplained by any human, helping prevent systemic risks and improving code comprehension.

Core Features & Use Cases

  • System Architecture Assessment: Gathers and analyzes information about system architecture.
  • AI Tool Usage Evaluation: Evaluates the team's usage of AI coding tools and practices.
  • Ownership and Development Analysis: Assesses team ownership structure, code development processes, and deployment practices.
  • Risk Assessment: Produces a detailed risk assessment report.

Quick Start

Initiate a dark-code audit to evaluate structural and velocity risks.

Frequently Asked Questions about dark-code-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is dark code and how do I assess its risk in my system architecture?▼

Dark code refers to code or runtime behaviors unexplained by any human. You assess dark-code risk by interviewing system architecture, AI tool usage, ownership, and deployment practices to identify structural and velocity hazards.

How do I audit code generated by AI tools for systemic risk?▼

To audit AI code evaluation risks, you evaluate the team's AI coding tool usage and practices. This AI code evaluation assesses comprehension debt and ownership gaps to produce a targeted risk assessment report.

What's the best way to identify ownership gaps and comprehension debt in code development?▼

The best way to identify ownership gaps is through an ownership and development analysis. It assesses team ownership structure and code development processes, outputting a comprehension debt scorecard to highlight unexplained behaviors.

Can I generate a hotspot map for runtime behaviors that remain unexplained by any human?▼

Yes, you can generate a hotspot map by assessing structural and velocity dark-code risks. The audit outputs a risk assessment report that includes a hotspot map detailing these unexplained runtime behaviors.

Does an AI code evaluation require specific deployment practices to assess velocity risks?▼

AI code evaluation requires analyzing your deployment practices to accurately assess velocity dark-code risks. It evaluates how team development processes and deployment workflows contribute to systemic unexplained behaviors.

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