Can I integrate these reports into my CI/CD pipeline?

Absolutely. The skill is designed to work with Omen's JSON output, allowing you to set automated thresholds that fail builds if health scores drop significantly over a set period.

What does a high R-squared value signify in the report?

A high R-squared value (above 0.7) indicates a consistent trend, suggesting that the improvement or degradation of the codebase is steady and predictable rather than erratic.

How far back can the trend analysis look?

You can analyze the full git history of a project or specify windows such as the last 30 days, 3 months, 6 months, or 1 year.

Do I need external tools to use this skill?

Yes, the Omen CLI must be installed and available in your system's PATH for this skill to perform its repository analysis functions.

What metrics does the Track Trends skill analyze?

It monitors a comprehensive suite of health indicators including cyclomatic complexity, code duplication ratios, self-admitted technical debt (SATD), coupling, and architectural smells.

Repo Health Trend Analysis

Name: Repo Health Trend Analysis
Author: panbanda

bypanbanda

•

分析与监控

Analyzes historical repository data to visualize code quality trends and technical debt patterns over time.

The Track Trends skill leverages Omen's code intelligence capabilities to perform longitudinal analysis of repository health by scanning git history. It generates detailed reports on critical metrics like cyclomatic complexity, code duplication, and self-admitted technical debt, allowing engineering teams to quantify the impact of refactoring efforts or identify gradual quality decay. This skill is ideal for creating data-driven quarterly reports, conducting release retrospectives, and justifying architectural investments through objective historical data and statistical trend modeling.

主要功能

01Granular component deep-dives for complexity, duplication, coupling, and cohesion

029 GitHub stars

03Automated Markdown report generation for executive summaries and retrospectives

04CI/CD integration support for automated health regression monitoring

05Statistical trend analysis including slope, R-squared consistency, and correlation

06Historical metric tracking across customizable timeframes (3m, 6m, 1y, or all)

使用场景

01Generating executive summaries for quarterly engineering health reviews

02Identifying 'feature rush' patterns where code quality drops during crunch periods

03Validating the success of large-scale refactoring or debt-paydown initiatives

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add panbanda/omen track-trends

For use in Claude.ai and ChatGPT

Download Skill