quality-metrics

Calculate and visualize software quality metrics for dashboards and CI/CD quality gates.

Updated Jan 4, 2026

Search Tags:#dashboards #software-quality #kpis #quality-gates #quality-metrics #dora-metrics

Ready to run

npx skills add https://github.com/natea/ai-news-influencer --skill quality-metrics-natea

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: quality-metrics
Source: https://github.com/natea/ai-news-influencer/tree/main/.claude/skills/quality-metrics
Command: npx skills add https://github.com/natea/ai-news-influencer --skill quality-metrics-natea

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quality-metrics provides objective, actionable measurements to assess and improve software quality, replacing vanity metrics with outcome-focused indicators.

Core Features & Use Cases

Define and monitor DORA metrics (deployment frequency, lead time for changes, change failure rate, MTTR) to drive release decisions.
Track quality indicators such as bug escape rate, defect density, and test effectiveness to identify improvement areas.
Build dashboards and enforce quality gates within CI/CD pipelines, enabling automated governance and alerts.
Coordinate agent-driven analysis and production metrics to maintain continuous quality visibility across environments.

Quick Start

Configure your environment to collect metrics, start the agents, and view the quality dashboard to begin tracking KPI trends.

Frequently Asked Questions about quality-metrics

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

FAQPage Schema

How do I track DORA metrics for my CI/CD pipeline?▼

Quality metrics tracking involves calculating bug escape rate, defect density, and test effectiveness to identify improvement areas. This skill replaces vanity metrics with these outcome-focused indicators to objectively assess and improve your software quality.

How do I enforce quality gates in CI/CD pipelines?▼

You enforce quality gates by configuring thresholds for your tracked quality metrics within your CI/CD pipelines. This enables automated governance and alerts to block deployments or guide release decisions when metrics fall below acceptable standards.

What is the best way to visualize software quality KPIs for production monitoring?▼

Visualizing software quality KPIs is best achieved by building dedicated dashboards that aggregate production metrics and agent-driven analysis. This provides continuous quality visibility across environments for your QA teams and monitoring processes.

Can I use agent coordination for automated quality metrics analysis?▼

Yes, you can use agent coordination for automated analysis of your software quality metrics. By starting the agents and configuring your environment to collect metrics, you can maintain continuous quality visibility and automate the tracking of KPI trends.

Does tracking defect density and MTTR require specific test effectiveness data?▼

Tracking defect density, MTTR, and MTTD relies on objective measurements from your production and CI/CD environments. You need to configure your environment to collect these metrics to successfully calculate the indicators and view the quality dashboard.