deductive-audit

Audit proposed code changes against axioms, system impact, and edge cases.

1|1|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/csuzngjh/principles --skill deductive-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deductive-audit
Source: https://github.com/csuzngjh/principles/tree/main/claude/skills/deductive-audit
Command: npx skills add https://github.com/csuzngjh/principles --skill deductive-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill acts as a crucial pre-execution gatekeeper, identifying and flagging potential logic errors, safety risks, and inefficiencies in proposed code changes before they are implemented.

Core Features & Use Cases

  • Multi-faceted Auditing: Performs checks against axioms, system impact, entropy, and negative scenarios (via negativa).
  • Risk Mitigation: Prevents the introduction of technical debt, performance degradation, or security vulnerabilities.
  • Use Case: Before merging a pull request that modifies critical system logic, run this Skill to ensure the changes are sound, necessary, and do not introduce unforeseen problems.

Quick Start

Perform a deductive audit on the proposed code changes.

Frequently Asked Questions about deductive-audit

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

FAQPage Schema
How do I perform a pre-execution logic validation for critical code changes?

Pre-execution logic validation evaluates proposed code changes against axioms, system impact, and edge cases. This deductive audit identifies potential logic errors and risks before implementation, ensuring necessity and robustness without introducing technical debt.

What is a deductive code audit and when should I use it?

A deductive code audit is a rigorous pre-merge gatekeeper that tests solutions via axiom tests, entropy reduction checks, and via negativa security assessments. Use it before modifying critical system logic to prevent performance degradation and security vulnerabilities.

How do I run a safety check and risk assessment on a pull request?

Running a safety check and risk assessment on a pull request involves analyzing system impact and negative scenarios. This process flags inefficiencies and logic errors in proposed changes, verifying that modifications are sound, necessary, and minimized before execution.

Can I use this auditing approach to prevent technical debt in system modifications?

Yes, this auditing approach prevents technical debt by conducting via negativa security assessments and entropy reduction checks. It rigorously evaluates proposed solutions to ensure changes do not introduce unforeseen problems or degrade system performance.

What are the limitations of using automated logic validation for code review?

Automated logic validation focuses strictly on pre-execution axiom tests and system impact analysis. It requires clearly proposed changes to evaluate and does not dynamically execute code, meaning it assesses theoretical robustness and risk rather than runtime behavior.