What are DORA metrics and why do they matter?

DORA metrics are four key indicators—Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Time to Restore Service—used globally to measure the performance and velocity of software delivery teams.

How does this skill automate quality gates?

It defines specific thresholds for metrics like test pass rates, security vulnerabilities, and performance latency, using specialized agents to automatically block or warn builds that don't meet your quality standards.

Why should I prioritize Bug Escape Rate over Test Coverage?

Coverage only measures how much code is touched, not if the tests are effective. Bug Escape Rate measures how many defects reached production, providing a true indicator of your testing strategy's effectiveness.

Can agents generate quality reports automatically?

Yes, the skill utilizes agents like qe-quality-analyzer to aggregate data from across your stack, calculate complex ratios, and generate dashboard configurations for tools like Grafana.

Quality Metrics & Dashboards

Name: Quality Metrics & Dashboards
Author: proffesor-for-testing

byproffesor-for-testing

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Analytics & Monitoring

Measures and analyzes software quality through DORA metrics, automated quality gates, and actionable performance dashboards.

The quality-metrics skill empowers development teams to move beyond vanity metrics by implementing a rigorous, data-driven approach to software quality assessment. It leverages specialized agents to track DORA metrics, calculate bug escape rates, and manage automated quality gates within CI/CD pipelines. By focusing on outcomes like stability and delivery speed rather than just test counts, this skill helps teams identify bottlenecks, justify engineering investments, and ensure high-performance software delivery through continuous visibility and agent-assisted trend analysis.

Key Features

01Standardized DORA metrics tracking (Lead Time, MTTR, Change Failure Rate, and Deployment Frequency)

02Automated quality gate configuration with blocking and warning thresholds

03Agent-assisted trend analysis and predictive quality reporting over custom timeframes

04Outcomes-based measurement including Bug Escape Rate and Test Effectiveness

05Real-time quality dashboard generation for visual monitoring and stakeholder reporting

0627 GitHub stars

Use Cases

01Establishing standardized quality benchmarks for enterprise-grade software projects

02Implementing 'stop-the-line' automated quality gates in CI/CD deployment pipelines

03Analyzing historical quality trends to identify and remediate recurring architectural weaknesses

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add proffesor-for-testing/sentinel-api-testing quality-metrics

For use in Claude.ai and ChatGPT

Download Skill