quality-metrics

Analyze code coverage, defect, performance, and process metrics for software quality reporting.

8|2|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/bradtaylorsf/alphaagent-team --skill quality-metrics-bradtaylorsf
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: quality-metrics
Source: https://github.com/bradtaylorsf/alphaagent-team/tree/main/plugins/aai-quality/skills/quality-metrics
Command: npx skills add https://github.com/bradtaylorsf/alphaagent-team --skill quality-metrics-bradtaylorsf

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a comprehensive framework for understanding and quantifying various aspects of software quality, enabling teams to identify areas for improvement and track progress over time.

Core Features & Use Cases

  • Code Quality Metrics: Analyze line, branch, function, and statement coverage, as well as cyclomatic and cognitive complexity.
  • Defect Metrics: Track defect density, escape rates, and Mean Time To Detect/Repair (MTTD/MTTR).
  • Performance Metrics: Monitor response times, throughput, error rates, and availability (uptime, MTBF, MTTR).
  • Process Metrics: Evaluate sprint velocity, lead time, cycle time, and deployment frequency.
  • Use Case: A development team can use this Skill to establish baseline quality metrics, set improvement targets (e.g., increase code coverage to 80%), and monitor trends weekly to ensure software health.

Quick Start

Use the quality-metrics skill to report on current code coverage and defect density.

Frequently Asked Questions about quality-metrics

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

FAQPage Schema
How do I measure code coverage and complexity for software quality tracking?

Code quality metrics measure line, branch, function, and statement coverage, alongside cyclomatic and cognitive complexity, to quantify software maintainability and track improvement targets over time.

What is the best way to track defect density and escape rates in software development?

Defect metrics track density, escape rates, and Mean Time To Detect and Repair to establish baselines, identify areas for improvement, and monitor software health trends weekly.

How do I monitor API response times, throughput, and availability?

Performance metrics monitor response times, throughput, error rates, and availability including uptime and Mean Time Between Failures to quantify software performance and reliability.

Can I evaluate sprint velocity and deployment frequency for development processes?

Process metrics evaluate sprint velocity, lead time, cycle time, and deployment frequency to help project managers establish benchmarks and track development process improvements.

Does this framework support setting improvement targets like increasing code coverage to 80%?

The framework supports development teams in establishing baseline quality metrics, setting specific improvement targets like increasing code coverage, and tracking progress to ensure software health.