LOC Analysis

Calculate lines of code added, deleted, and modified from Git history.

1|Updated Nov 26, 2025

Search Tags:#refactoring #code metrics #git analysis #loc #codebase comparison #feature footprint

Ready to run

npx skills add https://github.com/Baneeishaque/ai-agents --skill loc-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: LOC Analysis
Source: https://github.com/Baneeishaque/ai-agents/tree/main/.agents/skills/loc_analysis
Command: npx skills add https://github.com/Baneeishaque/ai-agents --skill loc-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill quantifies the exact lines of code added, deleted, and modified when comparing two codebases or analyzing a specific feature's impact within a Git history.

Core Features & Use Cases

Baseline Comparison: Compares two distinct codebases to measure the full delta from refactoring or library extraction.
Git Commit Analysis: Analyzes commits within a date range to isolate and compute the Lines of Code (LOC) for a specific feature.
Use Case: After extracting a module into a new library, use this Skill to report precisely how many lines of code were moved and how many new lines were added to the library.

Quick Start

Calculate the lines of code added and deleted when comparing the directory '/path/to/original/code' with '/path/to/new/code'.

Frequently Asked Questions about LOC Analysis

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

FAQPage Schema

How do I measure lines of code added and deleted during a codebase comparison?▼

You can measure lines of code added and deleted by comparing two codebases or analyzing Git history using a baseline comparison tool. This Skill calculates the exact delta for refactoring or library extraction by computing file enumeration, line counting, and diff results.

Can I calculate a feature footprint by analyzing Git commits within a date range?▼

Yes, you can calculate a feature footprint by analyzing Git commits within a specific date range. This process isolates the commits for a specific feature to compute the precise lines of code added, deleted, and modified during that period.

What is the best way to quantify code changes after extracting a module into a new library?▼

The best way to quantify code changes after module extraction is to perform a baseline codebase comparison. This approach reports exactly how many lines of code were moved to the new library and how many new lines were added.

Do I need Git and shell access to compute code metrics for refactoring?▼

Yes, you need Git VCS and shell access to compute code metrics for refactoring. These environments are required to execute file enumeration, line counting, and diff computation for accurate baseline comparisons and commit analysis.

How does Git history analysis calculate modified lines of code?▼

Git history analysis calculates modified lines of code by executing shell access for file enumeration and diff computation. It isolates commits within a specified date range to measure the exact feature footprint and codebase modifications.

Does this codebase comparison tool track both moved and newly added code?▼

Yes, this codebase comparison tool tracks both moved and newly added code. By calculating the delta between an original and new directory path, it reports the precise lines of code moved during extraction and the new lines added to the library.