
qe-quality-assessment
by proffesor-for-testing
Agentic QE Fleet is an open-source AI-powered quality engineering platform designed for use with Claude Code, featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.
SKILL.md
name: "QE Quality Assessment" description: "Comprehensive quality gates, metrics analysis, and deployment readiness assessment for continuous quality assurance."
QE Quality Assessment
Purpose
Guide the use of v3's quality assessment capabilities including automated quality gates, metrics aggregation, trend analysis, and deployment readiness evaluation.
Activation
- When evaluating code quality
- When setting up quality gates
- When assessing deployment readiness
- When tracking quality metrics
- When generating quality reports
Quick Start
# Run quality assessment
aqe quality assess --scope src/ --gates all
# Check deployment readiness
aqe quality deploy-ready --environment production
# Generate quality report
aqe quality report --format dashboard --period 30d
# Compare quality between releases
aqe quality compare --from v1.0 --to v2.0
Agent Workflow
// Comprehensive quality assessment
Task("Assess code quality", `
Evaluate quality for src/:
- Code complexity (cyclomatic, cognitive)
- Test coverage and mutation score
- Security vulnerabilities
- Code smells and technical debt
- Documentation coverage
Generate quality score and recommendations.
`, "qe-quality-analyzer")
// Deployment readiness check
Task("Check deployment readiness", `
Evaluate if release v2.1.0 is ready for production:
- All tests passing
- Coverage thresholds met
- No critical vulnerabilities
- Performance benchmarks passed
- Documentation updated
Provide go/no-go recommendation.
`, "qe-deployment-advisor")
Quality Dimensions
1. Code Quality Metrics
await qualityAnalyzer.assessCode({
scope: 'src/**/*.ts',
metrics: {
complexity: {
cyclomatic: { max: 15, warn: 10 },
cognitive: { max: 20, warn: 15 }
},
maintainability: {
index: { min: 65 },
duplication: { max: 3 } // percent
},
documentation: {
publicAPIs: { min: 80 },
complexity: { min: 70 }
}
}
});
2. Quality Gates
await qualityGate.evaluate({
gates: {
coverage: { min: 80, blocking: true },
complexity: { max: 15, blocking: false },
vulnerabilities: { critical: 0, high: 0, blocking: true },
duplications: { max: 3, blocking: false },
techDebt: { maxRatio: 5, blocking: false }
},
action: {
onPass: 'proceed',
onFail: 'block-merge',
onWarn: 'notify'
}
});
3. Deployment Readiness
await deploymentAdvisor.assess({
release: 'v2.1.0',
criteria: {
testing: {
unitTests: 'all-pass',
integrationTests: 'all-pass',
e2eTests: 'critical-pass',
performanceTests: 'baseline-met'
},
quality: {
coverage: 80,
noNewVulnerabilities: true,
noRegressions: true
},
documentation: {
changelog: true,
apiDocs: true,
releaseNotes: true
}
}
});
Quality Score Calculation
quality_score:
components:
test_coverage:
weight: 0.25
metrics: [statement, branch, function]
code_quality:
weight: 0.20
metrics: [complexity, maintainability, duplication]
security:
weight: 0.25
metrics: [vulnerabilities, dependencies]
reliability:
weight: 0.20
metrics: [bug_density, flaky_tests, error_rate]
documentation:
weight: 0.10
metrics: [api_coverage, readme, changelog]
scoring:
A: 90-100
B: 80-89
C: 70-79
D: 60-69
F: 0-59
Quality Dashboard
interface QualityDashboard {
overallScore: number; // 0-100
grade: 'A' | 'B' | 'C' | 'D' | 'F';
dimensions: {
name: string;
score: number;
trend: 'improving' | 'stable' | 'declining';
issues: Issue[];
}[];
gates: {
name: string;
status: 'pass' | 'fail' | 'warn';
value: number;
threshold: number;
}[];
trends: {
period: string;
scores: number[];
alerts: Alert[];
};
recommendations: Recommendation[];
}
CI/CD Integration
# Quality gate in pipeline
quality_check:
stage: verify
script:
- aqe quality assess --gates all --output report.json
rules:
- if: $CI_PIPELINE_SOURCE == "merge_request_event"
artifacts:
reports:
quality: report.json
allow_failure:
exit_codes:
- 1 # Warnings only
Coordination
Primary Agents: qe-quality-analyzer, qe-deployment-advisor, qe-metrics-collector Coordinator: qe-quality-coordinator Related Skills: qe-coverage-analysis, qe-security-compliance
Score
Total Score
Based on repository quality metrics
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GitHub Stars 100以上
1ヶ月以内に更新
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プログラミング言語が設定されている
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Reviews
Reviews coming soon

