github-repo-analysis

Analyze GitHub repositories to extract commit, contributor, and release metrics.

Updated Apr 23, 2025
One-click install
npx skills add https://github.com/Innfi/solid-fortnight --skill github-repo-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: github-repo-analysis
Source: https://github.com/Innfi/solid-fortnight/tree/main/agent-skills/github-repo-analysis
Command: npx skills add https://github.com/Innfi/solid-fortnight --skill github-repo-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Analyze GitHub repositories to extract insights about development activity, contributor dynamics, and release history to inform decision-making and planning.

Core Features & Use Cases

  • Commit Frequency Analysis: extract commit history and compute activity trends over days/weeks/months.
  • Outstanding Contributors & Release Timeline: identify top contributors and map releases to activity windows.
  • Use Case: run a repository health check for a new project, a long-lived monorepo, or after major releases to assess momentum and bottlenecks.

Quick Start

Ask the tool to analyze a GitHub repository to reveal its commit frequency, contributor patterns, and release history.

Frequently Asked Questions about github-repo-analysis

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

FAQPage Schema
How do I analyze GitHub repository health and contributor activity?

To analyze GitHub repository health, you extract commit frequency, contributor dynamics, and release history using the GitHub REST API. This Skill computes time-series metrics for public or private repositories, outputting structured data suitable for project audits and dashboards.

What is the best way to track commit frequency trends for a project audit?

Tracking commit frequency trends involves extracting commit history and computing activity over days, weeks, or months. This Skill applies time-series metrics to GitHub repositories to identify development momentum and bottlenecks for project audits and release planning.

Can I use GitHub API metrics to evaluate private repositories for onboarding analysis?

Yes, you can evaluate private repositories for onboarding analysis using GitHub REST API metrics. This Skill extracts commits, contributors, and release data across both public and private repositories to quantify development activity and map release timelines.

Do I need the requests library to extract GitHub commits and release history?

Yes, the requests library is required to extract GitHub commits and release history. This Skill relies on the requests dependency to interface with the GitHub REST API and compute structured time-series metrics for reporting.

How do I identify outstanding contributors and map them to a release timeline?

To identify outstanding contributors and map release timelines, you extract contributor data and release history from GitHub repositories. This Skill processes these metrics to align top contributor activity with specific release windows for team performance reviews.

What are the limitations of using REST API data for GitHub project health checks?

Using REST API data for GitHub project health checks limits you to commits, contributors, and releases without deep code complexity analysis. This Skill optionally supports GitHub GraphQL to augment structured time-series metric extraction for reporting.