How are Hot Zones identified?

Hot Zones are files that have appeared three or more times in the last 30 commits. Modifying these files significantly increases the calculated risk score.

What is Entropy Delta (ΔS) in GitForge?

Entropy Delta (ΔS) is a metric that measures the complexity and potential instability of code changes. Values above 5.0 are considered high entropy and require a cooling protocol.

What is the ArifOS Cooling Protocol?

The Cooling Protocol is a safety procedure triggered when risk exceeds 0.7 or entropy exceeds 5.0. it requires the developer to defer, decompose, or document changes before proceeding.

Does this skill work with any Git repository?

Yes, as long as the repository is accessible to Claude Code and the ArifOS Trinity forge dependencies are met, it can analyze any local git branch.

ArifOS GitForge Entropy Analyzer

Name: ArifOS GitForge Entropy Analyzer
Author: ariffazil

byariffazil

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Analytics & Monitoring

Analyzes git branch entropy and predicts change impact risk using the ArifOS Trinity forge system.

ArifOS GitForge is a specialized Claude Code skill that integrates the Trinity forge system to provide deep insights into repository stability and change risk. It maps branch state, identifies frequently modified 'hot zones,' and calculates Entropy Delta (ΔS) to quantify the impact of proposed changes. Designed with a fail-closed governance model, it automatically triggers cooling protocols for high-risk operations, ensuring that AI-driven development remains safe, stable, and subject to human oversight when complexity thresholds are exceeded.

Key Features

01Fail-Closed Governance: Enforces mandatory cooling protocols (halt, decompose, or document) for high-entropy changes.

02Multi-Workspace Support: Automatically detects repository roots from any subfolder for seamless analysis.

03Entropy Delta (ΔS) Calculation: Quantifies the complexity and instability introduced by branch changes.

04Hot Zone Mapping: Automatically identifies files with high modification frequency in recent history.

0527 GitHub stars

06Automated Risk Scoring: Generates a 0.0 to 1.0 risk index with color-coded status indicators.

Use Cases

01Identifying technical debt and high-risk files within legacy repositories.

02Implementing automated safety guardrails for AI-generated code modifications.

03Assessing the stability of a feature branch before merging into main.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ariffazil/arifos arifos-workflow-gitforge

For use in Claude.ai and ChatGPT

Download Skill