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Quality Metrics

proffesor-for-testing/agentic-qe

  • 107 installs
  • 433 repo stars
  • Updated August 4, 2026
  • proffesor-for-testing/agentic-qe

quality-metrics is a Claude Code skill for ai & agent building.

About

quality-metrics is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • quality-metrics
  • AI & Agent Building
  • AI-coding skill

Quality Metrics by the numbers

  • 107 all-time installs (skills.sh)
  • +3 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #4,132 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill quality-metrics

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Listed on Skillselion
Installs107
repo stars★ 433
Last updatedAugust 4, 2026
Repositoryproffesor-for-testing/agentic-qe ↗

How do I helps with ai & agent building tasks.?

Helps with ai & agent building tasks.

Who is it for?

Best when you're working on ai & agent building and need structured help with quality metrics.

Skip if: Teams with no ai & agent building needs, or anyone wanting a generic chat assistant without this specific workflow.

When should I use this skill?

When you need to helps with ai & agent building tasks., or when quality-metrics is a claude code skill for ai & agent building.

What you get

Structured output aligned to quality-metrics: quality-metrics, AI & Agent Building.

Files

SKILL.mdMarkdownGitHub ↗

Quality Metrics

<default_to_action> When measuring quality or building dashboards: 1. MEASURE outcomes (bug escape rate, MTTD) not activities (test count) 2. AVOID vanity metrics: 100% coverage means nothing if tests don't catch bugs 3. SET thresholds that drive behavior (quality gates block bad code) 4. TREND over time: Direction matters more than absolute numbers </default_to_action>

Quick Reference Card

When to Use

  • Building quality dashboards
  • Defining quality gates
  • Evaluating testing effectiveness
  • Justifying quality investments

Quality Gate Thresholds

MetricBlocking ThresholdWarning
Test pass rate100%-
Critical coverage> 80%> 70%
Security critical0-
Performance p95< 200ms< 500ms
Flaky tests< 2%< 5%

---

Dashboard Design

// Agent generates quality dashboard
await Task("Generate Dashboard", {
  metrics: {
    delivery: ['deployment-frequency', 'lead-time', 'change-failure-rate'],
    quality: ['bug-escape-rate', 'test-effectiveness', 'defect-density'],
    stability: ['mttd', 'mttr', 'availability'],
    process: ['code-review-time', 'flaky-test-rate', 'coverage-trend']
  },
  visualization: 'grafana',
  alerts: {
    critical: { bug_escape_rate: '>20%', mttr: '>24h' },
    warning: { coverage: '<70%', flaky_rate: '>5%' }
  }
}, "qe-quality-analyzer");

---

Quality Gate Configuration

{
  "qualityGates": {
    "commit": {
      "coverage": { "min": 80, "blocking": true },
      "lint": { "errors": 0, "blocking": true }
    },
    "pr": {
      "tests": { "pass": "100%", "blocking": true },
      "security": { "critical": 0, "blocking": true },
      "coverage_delta": { "min": 0, "blocking": false }
    },
    "release": {
      "e2e": { "pass": "100%", "blocking": true },
      "performance_p95": { "max_ms": 200, "blocking": true },
      "bug_escape_rate": { "max": "10%", "blocking": false }
    }
  }
}

---

Agent-Assisted Metrics

// Calculate quality trends
await Task("Quality Trend Analysis", {
  timeframe: '90d',
  metrics: ['bug-escape-rate', 'mttd', 'test-effectiveness'],
  compare: 'previous-90d',
  predictNext: '30d'
}, "qe-quality-analyzer");

// Evaluate quality gate
await Task("Quality Gate Evaluation", {
  buildId: 'build-123',
  environment: 'staging',
  metrics: currentMetrics,
  policy: qualityPolicy
}, "qe-quality-gate");

---

Agent Coordination Hints

Memory Namespace

aqe/quality-metrics/
├── dashboards/*         - Dashboard configurations
├── trends/*             - Historical metric data
├── gates/*              - Gate evaluation results
└── alerts/*             - Triggered alerts

Fleet Coordination

const metricsFleet = await FleetManager.coordinate({
  strategy: 'quality-metrics',
  agents: [
    'qe-quality-analyzer',         // Trend analysis
    'qe-test-executor',            // Test metrics
    'qe-coverage-analyzer',        // Coverage data
    'qe-production-intelligence',  // Production metrics
    'qe-quality-gate'              // Gate decisions
  ],
  topology: 'mesh'
});

---

Related Skills

  • agentic-quality-engineering - Agent coordination
  • cicd-pipeline-qe-orchestrator - Quality gates
  • risk-based-testing - Risk-informed metrics
  • shift-right-testing - Production metrics

---

Remember

With Agents: Agents track metrics automatically, analyze trends, trigger alerts, and make gate decisions. Use agents to maintain continuous quality visibility.

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FAQ

What does quality-metrics do?

quality-metrics is a Claude Code skill for ai & agent building.

When should I use quality-metrics?

When you need to helps with ai & agent building tasks., or when quality-metrics is a claude code skill for ai & agent building.

What are the main capabilities?

quality-metrics; AI & Agent Building; AI-coding skill.

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