Agentic-qe test-reporting-analytics
Advanced test reporting, quality dashboards, predictive analytics, trend analysis, and executive reporting for QE metrics. Use when communicating quality status, tracking trends, or making data-driven decisions.
install
source · Clone the upstream repo
git clone https://github.com/proffesor-for-testing/agentic-qe
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/proffesor-for-testing/agentic-qe "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/test-reporting-analytics" ~/.claude/skills/proffesor-for-testing-agentic-qe-test-reporting-analytics && rm -rf "$T"
manifest:
.claude/skills/test-reporting-analytics/SKILL.mdsource content
Test Reporting & Analytics
<default_to_action> When building test reports:
- DEFINE audience (dev team vs executives)
- CHOOSE key metrics (max 5-7)
- SHOW trends (not just snapshots)
- HIGHLIGHT actions (what to do about it)
- AUTOMATE generation
Dashboard Quick Setup:
+------------------+------------------+------------------+ | Tests Passed | Code Coverage | Flaky Tests | | 1,247/1,250 ✅ | 82.3% ⬆️ +2.1% | 1.2% ⬇️ -0.3% | +------------------+------------------+------------------+ | Critical Bugs | Deploy Freq | MTTR | | 0 open ✅ | 12x/day ⬆️ | 2.3h ⬇️ | +------------------+------------------+------------------+
Key Metrics by Audience:
- Dev Team: Pass rate, flaky %, execution time, coverage gaps
- QE Team: Defect detection rate, test velocity, automation ROI
- Leadership: Escaped defects, deployment frequency, quality cost </default_to_action>
Quick Reference Card
Essential Metrics
| Category | Metric | Target |
|---|---|---|
| Execution | Pass Rate | >98% |
| Execution | Flaky Test % | <2% |
| Execution | Suite Duration | <10 min |
| Coverage | Line Coverage | >80% |
| Coverage | Branch Coverage | >70% |
| Quality | Escaped Defects | <5/release |
| Quality | MTTR | <4 hours |
| Efficiency | Automation Rate | >90% |
Trend Indicators
| Symbol | Meaning | Action |
|---|---|---|
| ⬆️ | Improving | Continue current approach |
| ⬇️ | Declining | Investigate root cause |
| ➡️ | Stable | Maintain or improve |
| ⚠️ | Threshold breach | Immediate attention |
Report Types
Real-Time Dashboard
Live quality status for CI/CD - Build status (green/red) - Test results (pass/fail counts) - Coverage delta - Flaky test alerts
Sprint Summary
## Sprint 47 Quality Summary ### Metrics | Metric | Value | Trend | |--------|-------|-------| | Tests Added | +47 | ⬆️ | | Coverage | 82.3% | ⬆️ +2.1% | | Bugs Found | 12 | ➡️ | | Escaped | 0 | ✅ | ### Highlights - ✅ Zero escaped defects - ⚠️ E2E suite now 45min (target: 30min) ### Actions 1. Optimize slow E2E tests 2. Add coverage for payment module
Executive Report
## Monthly Quality Report - Oct 2025 ### Executive Summary ✅ Production uptime: 99.97% (target: 99.95%) ✅ Deploy frequency: 12x/day (up from 8x) ⚠️ Coverage: 82.3% (target: 85%) ### Business Impact - Automation saves 120 hrs/month - Bug cost: $150/bug found vs $5,000 escaped - Estimated annual savings: $450K ### Recommendations 1. Invest in performance testing tooling 2. Hire senior QE for mobile coverage
Predictive Analytics
// Predict test failures const prediction = await Task("Predict Failures", { codeChanges: prDiff, historicalData: last90Days, model: 'gradient-boosting' }, "qe-quality-analyzer"); // Returns: // { // failureProbability: 0.73, // likelyFailingTests: ['payment.test.ts'], // suggestedAction: 'Review payment module carefully', // confidence: 0.89 // } // Trend analysis with anomaly detection const trends = await Task("Analyze Trends", { metrics: ['passRate', 'coverage', 'flakyRate'], period: '30d', detectAnomalies: true }, "qe-quality-analyzer");
Agent Integration
// Generate comprehensive quality report const report = await Task("Generate Quality Report", { period: 'sprint', audience: 'executive', includeROI: true, includeTrends: true }, "qe-quality-analyzer"); // Real-time quality gate check const gateResult = await Task("Quality Gate Check", { metrics: currentMetrics, thresholds: qualityPolicy, environment: 'production' }, "qe-quality-gate");
Agent Coordination Hints
Memory Namespace
aqe/reporting/ ├── dashboards/* - Dashboard configurations ├── reports/* - Generated reports ├── trends/* - Trend analysis data └── predictions/* - Predictive model outputs
Fleet Coordination
const reportingFleet = await FleetManager.coordinate({ strategy: 'quality-reporting', agents: [ 'qe-quality-analyzer', // Metrics aggregation 'qe-quality-gate', // Threshold validation 'qe-deployment-readiness' // Release readiness ], topology: 'parallel' });
Related Skills
- quality-metrics - Metric definitions
- shift-right-testing - Production metrics
- consultancy-practices - Client reporting
Remember
Measure to improve. Report to communicate.
Good reports:
- Answer "so what?" (actionable insights)
- Show trends (not just snapshots)
- Match audience needs
- Automate where possible
Data without action is noise. Action without data is guessing.