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عرض تفاصيل Prompt يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/proffesor-for-testing/sentinel-api-testing --skill quality-metricsيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
تحميل Zip جاري التحميل... المهن ذات الصلة SOC
استنادا إلى تصنيف SOC المهني
name quality-metrics description Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or evaluating test effectiveness. category testing-methodologies priority high tokenEstimate 900 agents ["qe-quality-analyzer","qe-test-executor","qe-coverage-analyzer","qe-production-intelligence","qe-quality-gate"] implementation_status optimized optimization_version 1 last_optimized 2025-12-02T00:00:00.000Z dependencies [] quick_reference_card true tags ["metrics","dora","quality-gates","dashboards","kpis","measurement"]
Quality Metrics
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When measuring quality or building dashboards:
MEASURE outcomes (bug escape rate, MTTD) not activities (test count)
FOCUS on DORA metrics: Deployment frequency, Lead time, MTTD, MTTR, Change failure rate
AVOID vanity metrics: 100% coverage means nothing if tests don't catch bugs
SET thresholds that drive behavior (quality gates block bad code)
TREND over time: Direction matters more than absolute numbers
Quick Metric Selection:
Speed: Deployment frequency, lead time for changes
Stability: Change failure rate, MTTR
Quality: Bug escape rate, defect density, test effectiveness
Process: Code review time, flaky test rate
Critical Success Factors:
Metrics without action are theater
What you measure is what you optimize
Trends matter more than snapshots
</default_to_action>
Quick Reference Card
When to Use
Building quality dashboards
Defining quality gates
Evaluating testing effectiveness
Justifying quality investments
Meaningful vs Vanity Metrics
✅ Meaningful ❌ Vanity Bug escape rate Test case count MTTD (detection) Lines of test code MTTR (recovery) Test executions Change failure rate Coverage % (alone) Lead time for changes Requirements traced
DORA Metrics
Metric Elite High Medium Low Deploy Frequency On-demand Weekly Monthly Yearly Lead Time < 1 hour < 1 week < 1 month > 6 months Change Failure Rate < 5% < 15% < 30% > 45% MTTR < 1 hour < 1 day < 1 week > 1 month
Quality Gate Thresholds
Metric Blocking Threshold Warning Test pass rate 100% - Critical coverage > 80% > 70% Security critical 0 - Performance p95 < 200ms < 500ms Flaky tests < 2% < 5%
Core Metrics
Bug Escape Rate Bug Escape Rate = (Production Bugs / Total Bugs Found) × 100
Target: < 10% (90% caught before production)
Test Effectiveness Test Effectiveness = (Bugs Found by Tests / Total Bugs) × 100
Target: > 70%
Defect Density Defect Density = Defects / KLOC
Good: < 1 defect per KLOC
Mean Time to Detect (MTTD) MTTD = Time(Bug Reported) - Time(Bug Introduced)
Target: < 1 day for critical, < 1 week for others
Dashboard Design
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
await Task ("Quality Trend Analysis" , {
timeframe : '90d' ,
metrics : ['bug-escape-rate' , 'mttd' , 'test-effectiveness' ],
compare : 'previous-90d' ,
predictNext : '30d'
}, "qe-quality-analyzer" );
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' ,
'qe-test-executor' ,
'qe-coverage-analyzer' ,
'qe-production-intelligence' ,
'qe-quality-gate'
],
topology : 'mesh'
});
Common Traps Trap Problem Solution Coverage worship 100% coverage, bugs still escape Measure bug escape rate instead Test count focus Many tests, slow feedback Measure execution time Activity metrics Busy work, no outcomes Measure outcomes (MTTD, MTTR) Point-in-time Snapshot without context Track trends over time
Related Skills
Remember Measure outcomes, not activities. Bug escape rate > test count. MTTD/MTTR > coverage %. Trends > snapshots. Set gates that block bad code. What you measure is what you optimize.
With Agents: Agents track metrics automatically, analyze trends, trigger alerts, and make gate decisions. Use agents to maintain continuous quality visibility.
