commit-analysis

Automates regression detection and commit history analysis for AItrader via Python scripts.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/FelixWayne0318/AItrader --skill commit-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: commit-analysis
Source: https://github.com/FelixWayne0318/AItrader/tree/main/.claude/skills/commit-analysis
Command: npx skills add https://github.com/FelixWayne0318/AItrader --skill commit-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates regression detection and commit-change analysis for AItrader, helping teams verify that fixes remain effective after code changes.

Core Features & Use Cases

  • Automated regression detection: Scan commit history to surface regressions and validate fixes.
  • AI-assisted commit analysis: Semantically analyze code changes to identify potential impact.
  • Pre-merge validation: Run checks before PR merges to prevent regressions.

Quick Start

Run the smart_commit_analyzer to update rules, or perform a full analysis with: python3 scripts/smart_commit_analyzer.py

Frequently Asked Questions about commit-analysis

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

FAQPage Schema
How do I automate regression detection and commit history analysis for pull requests?

Automate regression detection by parsing git history with Python scripts to validate pull requests and generate reports analyzing code changes for unintended regressions.

What is AI-assisted commit analysis and how does it validate code changes?

AI-assisted commit analysis semantically evaluates code changes to identify potential impact and catch regressions during post-commit reviews.

How do I run pre-merge validation checks to prevent regressions in my git history?

Run pre-merge validation by executing the smart_commit_analyzer Python script to parse git history, update rules, and generate validation reports before PR merges.

Can I use Python scripts to parse git commit history and generate validation reports?

Yes, you can use Python scripts like smart_commit_analyzer.py and analyze_commits_ai.py to parse git commit history and generate validation reports for regression detection.

Do I need any external dependencies to perform AI-assisted commit analysis?

No external dependencies are required. The Skill uses built-in Python scripts to parse git history and generate validation reports without needing additional packages.