quality-metrics

Calculate software delivery quality metrics from Jira data.

Updated Mar 6, 2026

Search Tags:#jira #quality metrics #bug tracking #delivery performance #defect rate #release quality

Ready to run

npx skills add https://github.com/devmuslim/pdm-skills --skill quality-metrics-devmuslim

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: quality-metrics
Source: https://github.com/devmuslim/pdm-skills/tree/main/delivery-kpi/skills/quality-metrics
Command: npx skills add https://github.com/devmuslim/pdm-skills --skill quality-metrics-devmuslim

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps Product Delivery Managers understand and improve the quality of their software releases by providing key metrics and actionable insights.

Core Features & Use Cases

Defect Rate Analysis: Identifies the percentage of bugs relative to delivered stories.
Bug Severity Monitoring: Tracks the distribution of critical, major, and minor bugs.
Reopened Issues Tracking: Measures the rate at which issues are reopened after being closed.
Escaped Defects Identification: Calculates the percentage of bugs found in production.
Test Coverage Assessment: (If available) Measures the proportion of stories with associated test cases.
Use Case: A team is concerned about the quality of their recent release. This Skill can be used to quickly assess the defect rate, bug severity, and escaped defects to pinpoint areas for improvement in the development and testing process.

Quick Start

Analyze the quality metrics for the latest release using Jira data.

Frequently Asked Questions about quality-metrics

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

FAQPage Schema

How do I track escaped defects and bug severity using Jira data?▼

Track escaped defects and bug severity by importing Jira issue data to calculate the percentage of production bugs and analyze their critical, major, or minor distribution. This provides actionable insights to improve release quality and reduce future production issues.

What is a good way to measure defect rate and reopened issues for a software release?▼

Measure defect rate and reopened issues by calculating the percentage of bugs relative to delivered stories and tracking the rate of issues reopened after closure. This identifies testing gaps and improves development process quality.

Can I assess test coverage for delivered stories with this delivery performance tool?▼

Yes, you can assess test coverage by measuring the proportion of delivered stories that have associated test cases, provided that data is available. This evaluates testing completeness alongside defect rate and bug severity metrics.

How do I analyze quality metrics for my latest release from Jira?▼

Analyze quality metrics for your latest release by feeding Jira data into the calculation engine to interpret defect rates, bug severity distribution, and escaped defects. This yields actionable recommendations to pinpoint areas for improvement.

Why does my defect rate spike after a recent software release?▼

Your defect rate spikes when escaped defects found in production are high, indicating testing gaps. Analyzing bug severity distribution and reopened issues rate from Jira data helps pinpoint specific development or testing process failures.

Does this quality metrics skill work without external dependencies?▼

Yes, the quality metrics skill works without external dependencies, relying solely on Jira data to calculate delivery performance indicators like defect rate, reopened issues, and escaped defects for actionable quality improvement recommendations.