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git-forensics

Analyze git history to detect hotspots, churn, and bus-factor risk.

Updated Aug 23, 2026
Search Tags:#git#forensics#hotspots#bus-factor#code-churn#blame-analysis#contributor-stats
One-click install
npx skills add https://github.com/extremecoder-rgb/GitLyzr --skill git-forensics-extremecoder-rgb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: git-forensics
Source: https://github.com/extremecoder-rgb/GitLyzr/tree/main/skills/git-forensics
Command: npx skills add https://github.com/extremecoder-rgb/GitLyzr --skill git-forensics-extremecoder-rgb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify fragile areas of a codebase and team knowledge silos by analyzing git history to surface hotspots, churn, contributor patterns, and bus-factor risk so teams can prioritize refactors, ownership, and risk mitigation.

Core Features & Use Cases

  • Contributor Analysis & Bus Factor: Rank contributors by commits, lines added/deleted, files touched, and compute bus-factor to expose single points of failure.
  • Churn & Hotspot Detection: Measure per-file churn, modifications, and combine with complexity signals to flag critical hotspots that need refactoring or clearer ownership.
  • Temporal & Branching Insights: Reveal commit frequency trends, time-of-day and weekday patterns, branch lifetime and merge/revert patterns to inform process and CI improvements.
  • Use Case: During a pre-merge audit, run the analysis to discover a frequently changing authentication module owned by one engineer and generate a prioritized remediation plan.

Quick Start

Run a git-forensics analysis on the repository to produce a Git Forensics Report summarizing repository vitals, contributor leaderboard, bus factor, churn hotspots, and remediation recommendations.

Frequently Asked Questions about git-forensics

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

FAQPage Schema
How do I analyze git history to find code hotspots and churn metrics?▼

To analyze git history for code hotspots and churn metrics, run a repository forensics analysis that parses commit logs and measures per-file modifications. This process flags critical hotspots by combining churn frequency with optional complexity signals to prioritize refactoring efforts.

What is a bus-factor risk assessment and how does git blame analysis help?▼

A bus-factor risk assessment identifies single points of failure in code ownership by analyzing contributor patterns. Git blame analysis ranks contributors by commits and files touched, computing the bus-factor to expose team knowledge silos and fragile modules.

How can I detect contributor patterns and commit behavior trends in a Node.js repository?▼

You can detect contributor patterns and commit behavior trends by analyzing temporal git logs to reveal time-of-day and weekday patterns. This repository health audit surfaces commit frequency trends and branching insights to inform CI improvements for Node.js projects.

Can I use git churn metrics to prioritize refactoring during a pre-merge audit?▼

Yes, you can use git churn metrics to prioritize refactoring during a pre-merge audit. By measuring per-file churn and combining it with complexity metrics, you can generate a prioritized remediation plan for frequently changing modules with high ownership risk.

Do I need full access to git logs to perform a repository health audit?▼

Yes, you need full access to the repository git history and the ability to run or parse git logs to perform a health audit. Optionally consuming complexity metrics from a code-quality analysis enhances the detection of critical hotspots requiring ownership changes.

What are the limitations of using git forensics for code ownership assessments?▼

Git forensics for code ownership assessments is limited by its reliance on commit metadata, which may not reflect actual code complexity or informal knowledge sharing. It works best for Node.js and TypeScript repositories but requires complete git history to accurately compute bus-factor risk.

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