Does it require external tools to function?

No, it is designed to work with whatever is available. If no external tools are configured, it will still generate scores based on file history, test ratios, and review findings.

Can this skill be automated?

Yes, it can be triggered manually via specific keywords or run on a schedule through cowork for consistent project monitoring.

Where are the health reports stored?

Reports are automatically saved as markdown files in the 'health/scores/' directory of your project, allowing for easy tracking over time.

How does the health-score skill calculate project health?

It combines deterministic script results—such as file churn and test-to-source ratios—with data from external monitoring tools, then uses an LLM to analyze relative changes and trends.

Which external tools are supported for health tracking?

The skill can integrate with Sentry for error rates, Datadog for performance trends, SonarQube for technical debt, and JIRA or GitHub for bug tracking.

Project Health Score

Name: Project Health Score
Author: suzuki0keiichi

bysuzuki0keiichi

0•

Analytics & Monitoring

Monitors and reports on project health by analyzing code churn, bug density, and integration metrics from external monitoring tools.

The health-score skill provides a comprehensive overview of a codebase's technical vitality by collecting and analyzing deterministic metrics alongside external tool data. It tracks file churn rates, test-to-source ratios, and fix frequencies while integrating with platforms like Sentry, Datadog, and SonarQube to identify emerging hotspots and regressions. By comparing current data against historical scores, it offers actionable LLM-powered insights and recommendations to prevent technical debt and maintain long-term project stability through automated reporting.

Key Features

01Historical trend detection and hotspot identification

02Actionable LLM-driven recommendations for project maintenance

03Bug density and resolution rate monitoring via GitHub or JIRA

040 GitHub stars

05Automated code churn and file stability analysis

06Integration with Sentry, Datadog, and SonarQube for error and debt tracking

Use Cases

01Identifying high-risk hotspots where frequent changes correlate with high bug rates

02Conducting weekly project maintenance reviews to identify degrading code quality

03Monitoring the impact of architectural changes on long-term project stability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add suzuki0keiichi/claude-plugins-suzuki0keiichi health-score

For use in Claude.ai and ChatGPT

Key Features

01Historical trend detection and hotspot identification

02Actionable LLM-driven recommendations for project maintenance

03Bug density and resolution rate monitoring via GitHub or JIRA

040 GitHub stars

05Automated code churn and file stability analysis

06Integration with Sentry, Datadog, and SonarQube for error and debt tracking

Use Cases

01Identifying high-risk hotspots where frequent changes correlate with high bug rates

02Conducting weekly project maintenance reviews to identify degrading code quality

03Monitoring the impact of architectural changes on long-term project stability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add suzuki0keiichi/claude-plugins-suzuki0keiichi health-score

For use in Claude.ai and ChatGPT