forensic-auditing

Audits codebases for design alignment and execution safety using deterministic disk checks.

1|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/DaBigHomie/ugwtf --skill forensic-auditing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: forensic-auditing
Source: https://github.com/DaBigHomie/ugwtf/tree/main/.claude/skills/forensic-auditing
Command: npx skills add https://github.com/DaBigHomie/ugwtf --skill forensic-auditing

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill offers a deep dive into codebase auditing to ensure alignment, execution safety, and prevention of temporal or semantic drift. It's ideal for evaluating pending prompts, verifying design alignment, and assessing execution plans.

Core Features & Use Cases

  • Code Alignment Verification: Evaluates whether codebase components align with design specifications.
  • Execution Safety Forecasting: Assesses the potential for temporal or semantic drift in code execution.
  • Task Evaluation: Triggered by specific commands for auditing, verifying, forecasting, or evaluating tasks.

Quick Start

Trigger a forensic audit by issuing the command: audit codebase.

Frequently Asked Questions about forensic-auditing

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

FAQPage Schema
How do I audit codebase alignment with design specifications?

Codebase alignment auditing evaluates functional payloads and executes deterministic disk checks to validate whether components match design specifications. It analyzes the current state of files and components to identify and prevent semantic drift.

What is forensic code auditing and when do I need it?

Forensic code auditing ensures execution safety and verifies design alignment within a codebase. You need it to evaluate pending prompts, assess execution plans, and prevent temporal or semantic drift in dynamic systems.

How do I assess execution safety and prevent semantic drift in my code?

Execution safety forecasting assesses the potential for temporal or semantic drift by running dynamic checks against the live state of the target system. This validates execution plans and handles edge cases to ensure safe operations.

Do I need specific dependencies to perform deterministic disk checks on code components?

No dependencies are required to perform deterministic disk checks on code components. The auditing process operates independently using scripts to validate the current state of files and handle edge cases without external libraries.

What is the best way to verify task execution plans and handle edge cases?

The best way to verify task execution plans is to trigger a forensic audit using specific commands like 'audit codebase'. This process evaluates pending prompts, ensures temporal integrity, and handles edge cases against the live system state.

Why does my code execution suffer from temporal drift during dynamic checks?

Temporal drift occurs during dynamic checks when execution deviates from expected timelines. Forensic auditing prevents this by analyzing functional payloads and validating the live state of the target system to maintain execution safety.