Measures software quality through actionable DORA metrics, bug escape rates, and automated quality gate enforcement.
The Quality Metrics skill empowers teams to move beyond vanity metrics by focusing on outcome-based measurements like bug escape rates, Mean Time to Detect (MTTD), and DORA metrics. It provides structured guidance for establishing real-time quality dashboards and configuring automated quality gates within CI/CD pipelines to ensure only stable code reaches production. By leveraging specialized agents, it analyzes historical trends and predicts future stability risks, ensuring that quality improvements are driven by meaningful data rather than activity-based snapshots.
주요 기능
01Measurement of outcome-based KPIs including Bug Escape Rate and Test Effectiveness.
02Configuration of multi-stage Quality Gates for commits, PRs, and production releases.
03Automated tracking of DORA metrics: Deployment Frequency, Lead Time, MTTR, and Change Failure Rate.
04111 GitHub stars
05Agent-assisted trend analysis to identify stability risks over 30, 60, or 90-day periods.
06Standardized dashboard design patterns for visualizing delivery and process quality.
사용 사례
01Defining automated blocking thresholds for CI/CD pipelines to prevent critical regressions.
02Establishing data-driven quality dashboards to track team performance and delivery stability.
03Evaluating testing effectiveness and justifying investments in quality engineering initiatives.
