/qe-coverage-analysis
Analyzes test coverage data (Istanbul, c8, lcov) to identify uncovered lines, branches, and functions with risk-weighted gap detection. Use when analyzing coverage reports, identifying coverage gaps, comparing coverage between branches, or prioritizing which untested code to
$ npx -y skills add proffesor-for-testing/agentic-qe --skill qe-coverage-analysis --agent claude-codeHow it fires
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/qe-coverage-analysis
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Analyzes test coverage data (Istanbul, c8, lcov) to identify uncovered lines, branches, and functions with risk-weighted gap detection. Use when analyzing coverage reports, identifying coverage gaps, comparing coverage between branches, or prioritizing which untested code to
SKILL.md
qe-coverage-analysis.SKILL.mdname: "qe-coverage-analysis"
description: "Analyzes test coverage data (Istanbul, c8, lcov) to identify uncovered lines, branches, and functions with risk-weighted gap detection. Use when analyzing coverage reports, identifying coverage gaps, comparing coverage between branches, or prioritizing which untested code to cover first."
trust_tier: 3
validation:
schema_path: schemas/output.json
validator_path: scripts/validate-config.json
eval_path: evals/qe-coverage-analysis.yaml
QE Coverage Analysis
Purpose
Guide the use of v3's advanced coverage analysis capabilities including sublinear gap detection algorithms, risk-weighted coverage scoring, and intelligent test prioritization based on code criticality.
Activation
- When analyzing test coverage
- When identifying coverage gaps
- When prioritizing testing effort
- When setting coverage targets
- When assessing code risk
Quick Start
# Analyze coverage with gap detection
aqe coverage analyze --source src/ --tests tests/
# Find high-risk uncovered code
aqe coverage gaps --risk-weighted --threshold 80
# Generate coverage report
aqe coverage report --format html --output coverage-report/
# Compare coverage between branches
aqe coverage diff --base main --head feature-branch
Agent Workflow
// Comprehensive coverage analysis
Task("Analyze coverage gaps", `
Perform O(log n) coverage analysis on src/:
- Calculate statement, branch, function coverage
- Identify uncovered critical paths
- Risk-weight gaps by code complexity and change frequency
- Recommend tests to write for maximum coverage impact
`, "qe-coverage-specialist")
// Risk-based prioritization
Task("Prioritize coverage effort", `
Analyze coverage gaps and prioritize by:
- Business criticality (payment, auth, data)
- Code complexity (cyclomatic > 10)
- Recent bug history
- Change frequency
Output prioritized list of files needing tests.
`, "qe-coverage-analyzer")Analysis Strategies
1. Sublinear Gap Detection
await coverageAnalyzer.detectGaps({
algorithm: 'sublinear', // O(log n) complexity
source: 'src/**/*.ts',
metrics: ['statement', 'branch', 'function'],
sampling: {
enabled: true,
confidence: 0.95,
maxSamples: 1000
}
});2. Risk-Weighted Coverage
await coverageAnalyzer.riskWeightedAnalysis({
coverage: coverageReport,
riskFactors: {
complexity: { weight: 0.3, threshold: 10 },
changeFrequency: { weight: 0.25, window: '90d' },
bugHistory: { weight: 0.25, window: '180d' },
criticality: { weight: 0.2, tags: ['payment', 'auth'] }
},
output: {
riskScore: true,
prioritizedGaps: true
}
});3. Differential Coverage
await coverageAnalyzer.diffCoverage({
base: 'main',
head: 'feature-branch',
requirements: {
newCode: 80, // New code must have 80% coverage
modifiedCode: 'maintain', // Don't decrease existing
deletedCode: 'ignore'
}
});Coverage Thresholds
thresholds:
global:
statements: 80
branches: 75
functions: 85
lines: 80
per_file:
min_statements: 70
critical_paths: 90
new_code:
statements: 85
branches: 80
exceptions:
- path: "src/migrations/**"
reason: "Database migrations"
- path: "src/generated/**"
reason: "Auto-generated code"Coverage Report
interface CoverageAnalysis {
summary: {
statements: { covered: number; total: number; percentage: number };
branches: { covered: number; total: number; percentage: number };
functions: { covered: number; total: number; percentage: number };
};
gaps: {
file: string;
uncoveredLines: number[];
uncoveredBranches: BranchInfo[];
riskScore: number;
suggestedTests: string[];
}[];
trends: {
period: string;
coverageChange: number;
newGaps: number;
closedGaps: number;
};
recommendations: {
priority: 'critical' | 'high' | 'medium' | 'low';
file: string;
action: string;
expectedImpact: number;
}[];
}Quality Gates
quality_gates:
coverage:
block_merge:
- new_code_coverage < 80
- coverage_regression > 5
- critical_path_uncovered
warn:
- overall_coverage < 75
- branch_coverage < 70
metrics:
- track_trends: true
- alert_on_decline: 3 # consecutive PRsRun History
After each coverage analysis, append results to `run-history.json` in this skill directory:
# Read current history, append new entry, write back
node -e "
const fs = require('fs');
const h = JSON.parse(fs.readFileSync('.claude/skills/qe-coverage-analysis/run-history.json'));
h.runs.push({date: new Date().toISOString().split('T')[0], statements_pct: STATEMENTS, branches_pct: BRANCHES, gaps_found: GAPS});
fs.writeFileSync('.claude/skills/qe-coverage-analysis/run-history.json', JSON.stringify(h, null, 2));
"Read `run-history.json` before each run to detect trends (e.g., "coverage dropped 3 consecutive times").
Skill Composition
- **Coverage dropped?** → Use `/coverage-drop-investigator` to trace the cause
- **Need more tests** → Use `/qe-test-generation` to fill gaps
- **Validate quality** → Use `/mutation-testing` to ensure coverage means quality
- **Ship decision** → Feed into `/qe-quality-assessment` for deployment readiness
Gotchas
- High line coverage does NOT mean good tests — 100% coverage with 0% assertions is common agent output. Use mutation testing to verify
- coverage-analysis domain has 86% success rate — 14% of runs fail on initialization. Always verify results and have fallback plan (e.g. manual coverage tools)
- Self-learning pipeline may silently stop learning (statusline frozen for days) — only human inspection catches this
Coordination
**Primary Agents**: qe-coverage-specialist, qe-coverage-analyzer, qe-gap-detector **Coordinator**: qe-coverage-coordinator
Read more
name: "qe-coverage-analysis" description: "Analyzes test coverage data (Istanbul, c8, lcov) to identify uncovered lines, branches, and functions with risk-weighted gap detection. Use when analyzing coverage reports, identifying coverage gaps, comparing coverage between branches, or prioritizing which untested code to cover first." trust_tier: 3 validation: schema_path: schemas/output.json validator_path: scripts/validate-config.json eval_path: evals/qe-coverage-analysis.yaml
QE Coverage Analysis
Purpose
Guide the use of v3's advanced coverage analysis capabilities including sublinear gap detection algorithms, risk-weighted coverage scoring, and intelligent test prioritization based on code criticality.
Activation
- When analyzing test coverage
- When identifying coverage gaps
- When prioritizing testing effort
- When setting coverage targets
- When assessing code risk
Quick Start
# Analyze coverage with gap detection aqe coverage analyze --source src/ --tests tests/ # Find high-risk uncovered code aqe coverage gaps --risk-weighted --threshold 80 # Generate coverage report aqe coverage report --format html --output coverage-report/ # Compare coverage between branches aqe coverage diff --base main --head feature-branch
Agent Workflow
// Comprehensive coverage analysis
Task("Analyze coverage gaps", `
Perform O(log n) coverage analysis on src/:
- Calculate statement, branch, function coverage
- Identify uncovered critical paths
- Risk-weight gaps by code complexity and change frequency
- Recommend tests to write for maximum coverage impact
`, "qe-coverage-specialist")
// Risk-based prioritization
Task("Prioritize coverage effort", `
Analyze coverage gaps and prioritize by:
- Business criticality (payment, auth, data)
- Code complexity (cyclomatic > 10)
- Recent bug history
- Change frequency
Output prioritized list of files needing tests.
`, "qe-coverage-analyzer")Analysis Strategies
1. Sublinear Gap Detection
await coverageAnalyzer.detectGaps({
algorithm: 'sublinear', // O(log n) complexity
source: 'src/**/*.ts',
metrics: ['statement', 'branch', 'function'],
sampling: {
enabled: true,
confidence: 0.95,
maxSamples: 1000
}
});2. Risk-Weighted Coverage
await coverageAnalyzer.riskWeightedAnalysis({
coverage: coverageReport,
riskFactors: {
complexity: { weight: 0.3, threshold: 10 },
changeFrequency: { weight: 0.25, window: '90d' },
bugHistory: { weight: 0.25, window: '180d' },
criticality: { weight: 0.2, tags: ['payment', 'auth'] }
},
output: {
riskScore: true,
prioritizedGaps: true
}
});3. Differential Coverage
await coverageAnalyzer.diffCoverage({
base: 'main',
head: 'feature-branch',
requirements: {
newCode: 80, // New code must have 80% coverage
modifiedCode: 'maintain', // Don't decrease existing
deletedCode: 'ignore'
}
});Coverage Thresholds
thresholds:
global:
statements: 80
branches: 75
functions: 85
lines: 80
per_file:
min_statements: 70
critical_paths: 90
new_code:
statements: 85
branches: 80
exceptions:
- path: "src/migrations/**"
reason: "Database migrations"
- path: "src/generated/**"
reason: "Auto-generated code"Coverage Report
interface CoverageAnalysis {
summary: {
statements: { covered: number; total: number; percentage: number };
branches: { covered: number; total: number; percentage: number };
functions: { covered: number; total: number; percentage: number };
};
gaps: {
file: string;
uncoveredLines: number[];
uncoveredBranches: BranchInfo[];
riskScore: number;
suggestedTests: string[];
}[];
trends: {
period: string;
coverageChange: number;
newGaps: number;
closedGaps: number;
};
recommendations: {
priority: 'critical' | 'high' | 'medium' | 'low';
file: string;
action: string;
expectedImpact: number;
}[];
}Quality Gates
quality_gates:
coverage:
block_merge:
- new_code_coverage < 80
- coverage_regression > 5
- critical_path_uncovered
warn:
- overall_coverage < 75
- branch_coverage < 70
metrics:
- track_trends: true
- alert_on_decline: 3 # consecutive PRsRun History
After each coverage analysis, append results to `run-history.json` in this skill directory:
# Read current history, append new entry, write back
node -e "
const fs = require('fs');
const h = JSON.parse(fs.readFileSync('.claude/skills/qe-coverage-analysis/run-history.json'));
h.runs.push({date: new Date().toISOString().split('T')[0], statements_pct: STATEMENTS, branches_pct: BRANCHES, gaps_found: GAPS});
fs.writeFileSync('.claude/skills/qe-coverage-analysis/run-history.json', JSON.stringify(h, null, 2));
"Read `run-history.json` before each run to detect trends (e.g., "coverage dropped 3 consecutive times").
Skill Composition
- **Coverage dropped?** → Use `/coverage-drop-investigator` to trace the cause
- **Need more tests** → Use `/qe-test-generation` to fill gaps
- **Validate quality** → Use `/mutation-testing` to ensure coverage means quality
- **Ship decision** → Feed into `/qe-quality-assessment` for deployment readiness
Gotchas
- High line coverage does NOT mean good tests — 100% coverage with 0% assertions is common agent output. Use mutation testing to verify
- coverage-analysis domain has 86% success rate — 14% of runs fail on initialization. Always verify results and have fallback plan (e.g. manual coverage tools)
- Self-learning pipeline may silently stop learning (statusline frozen for days) — only human inspection catches this
Coordination
**Primary Agents**: qe-coverage-specialist, qe-coverage-analyzer, qe-gap-detector **Coordinator**: qe-coverage-coordinator
AI-powered quality engineering agents that generate tests, find coverage gaps, detect flaky tests, and learn your codebase patterns — across 11 coding agent platforms.
Repo: proffesor-for-testing/agentic-qe
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