Can I use /reason for security audits?

Yes. It is highly effective for security analysis by tracing data flow and checking if input validations are consistently applied across all execution paths.

How does the Reason skill prevent AI hallucinations?

It mandates 'Static' and 'Behavioral' tags for every claim, requiring the AI to cite specific file paths and line numbers as evidence before a premise is accepted.

What are the trigger phrases for this skill?

The skill is typically triggered by phrases like 'reason about', 'is this correct', 'will this break', or 'what does this do'.

What is a reasoning certificate?

A reasoning certificate is a structured document produced by this skill that maps out premises, execution traces, and hypothesis checks to provide a verified, logical conclusion about code behavior.

Reason: Semi-Formal Code Analysis

Name: Reason: Semi-Formal Code Analysis
Author: nicholls-inc

bynicholls-inc

•

Seguridad y Pruebas

Conducts rigorous, evidence-driven code analysis using structured reasoning certificates to verify logic, safety, and correctness.

The Reason skill implements a semi-formal reasoning framework designed to eliminate guesswork and confirmation bias in code analysis. Inspired by the 'Agentic Code Reasoning' methodology, it forces Claude to build a structured 'reasoning certificate' that includes explicit premise gathering with file citations, step-by-step execution tracing, and mandatory alternative hypothesis testing. This skill is particularly valuable for complex debugging, verifying high-stakes refactors, and understanding intricate data flows where a surface-level scan might miss subtle logic errors or edge cases.

Características Principales

013 GitHub stars

02Structured Reasoning Certificates: Generates a logical chain of evidence before reaching any final conclusion.

03Bias Mitigation: Actively searches for evidence that could refute the emerging conclusion through alternative hypothesis checks.

04Depth-Adjustable Analysis: Supports function-level tracing and data flow analysis for deep-dive semantic questions.

05Execution Path Tracing: Maps control flow and function calls across the codebase to visualize actual logic execution.

06Evidence-Backed Premises: Requires specific file and line-number citations for every claim about code behavior.

Casos de Uso

01Analyzing complex functions for thread-safety, race conditions, or improper input validation.

02Determining the exact cause of a bug by tracing data mutations across multiple modules.

03Verifying if a proposed refactor is safe and maintains existing API behavior.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nicholls-inc/claude-code-marketplace reason

For use in Claude.ai and ChatGPT

Características Principales

013 GitHub stars

02Structured Reasoning Certificates: Generates a logical chain of evidence before reaching any final conclusion.

03Bias Mitigation: Actively searches for evidence that could refute the emerging conclusion through alternative hypothesis checks.

04Depth-Adjustable Analysis: Supports function-level tracing and data flow analysis for deep-dive semantic questions.

05Execution Path Tracing: Maps control flow and function calls across the codebase to visualize actual logic execution.

06Evidence-Backed Premises: Requires specific file and line-number citations for every claim about code behavior.

Casos de Uso

01Analyzing complex functions for thread-safety, race conditions, or improper input validation.

02Determining the exact cause of a bug by tracing data mutations across multiple modules.

03Verifying if a proposed refactor is safe and maintains existing API behavior.