calctext/.agents/skills/bmad-testarch-trace/steps-c/step-04-analyze-gaps.md

name, description, nextStepFile, outputFile, tempOutputFile

name	description	nextStepFile	outputFile	tempOutputFile
step-04-analyze-gaps	Complete Phase 1 with adaptive orchestration (agent-team, subagent, or sequential)	./step-05-gate-decision.md	{test_artifacts}/traceability-report.md	/tmp/tea-trace-coverage-matrix-{{timestamp}}.json

Step 4: Complete Phase 1 - Coverage Matrix Generation

STEP GOAL

Phase 1 Final Step: Analyze coverage gaps (including endpoint/auth/error-path blind spots), generate recommendations, and output complete coverage matrix to temp file for Phase 2 (gate decision).

---

MANDATORY EXECUTION RULES

• 📖 Read the entire step file before acting
• ✅ Speak in {communication_language}
• ✅ Output coverage matrix to temp file
• ✅ Resolve execution mode from explicit user request first, then config
• ✅ Apply fallback rules deterministically when requested mode is unsupported
• ❌ Do NOT make gate decision (that's Phase 2 - Step 5)

---

EXECUTION PROTOCOLS:

• 🎯 Follow the MANDATORY SEQUENCE exactly
• 💾 Record outputs before proceeding
• 📖 Load the next step only when instructed

CONTEXT BOUNDARIES:

• Available context: requirements from Step 1, tests from Step 2, traceability matrix from Step 3
• Focus: gap analysis and matrix completion
• Limits: do not make gate decision (Phase 2 responsibility)

---

MANDATORY SEQUENCE

0. Resolve Execution Mode (User Override First)

const parseBooleanFlag = (value, defaultValue = true) => {
  if (typeof value === 'string') {
    const normalized = value.trim().toLowerCase();
    if (['false', '0', 'off', 'no'].includes(normalized)) return false;
    if (['true', '1', 'on', 'yes'].includes(normalized)) return true;
  }
  if (value === undefined || value === null) return defaultValue;
  return Boolean(value);
};

const orchestrationContext = {
  config: {
    execution_mode: config.tea_execution_mode || 'auto', // "auto" | "subagent" | "agent-team" | "sequential"
    capability_probe: parseBooleanFlag(config.tea_capability_probe, true), // supports booleans and "false"/"true" strings
  },
  timestamp: new Date().toISOString().replace(/[:.]/g, '-'),
};

const normalizeUserExecutionMode = (mode) => {
  if (typeof mode !== 'string') return null;
  const normalized = mode.trim().toLowerCase().replace(/[-_]/g, ' ').replace(/\s+/g, ' ');

  if (normalized === 'auto') return 'auto';
  if (normalized === 'sequential') return 'sequential';
  if (normalized === 'subagent' || normalized === 'sub agent' || normalized === 'subagents' || normalized === 'sub agents') {
    return 'subagent';
  }
  if (normalized === 'agent team' || normalized === 'agent teams' || normalized === 'agentteam') {
    return 'agent-team';
  }

  return null;
};

const normalizeConfigExecutionMode = (mode) => {
  if (mode === 'subagent') return 'subagent';
  if (mode === 'auto' || mode === 'sequential' || mode === 'subagent' || mode === 'agent-team') {
    return mode;
  }
  return null;
};

// Explicit user instruction in the active run takes priority over config.
const explicitModeFromUser = normalizeUserExecutionMode(runtime.getExplicitExecutionModeHint?.() || null);

const requestedMode = explicitModeFromUser || normalizeConfigExecutionMode(orchestrationContext.config.execution_mode) || 'auto';
const probeEnabled = orchestrationContext.config.capability_probe;

const supports = { subagent: false, agentTeam: false };
if (probeEnabled) {
  supports.subagent = runtime.canLaunchSubagents?.() === true;
  supports.agentTeam = runtime.canLaunchAgentTeams?.() === true;
}

let resolvedMode = requestedMode;
if (requestedMode === 'auto') {
  if (supports.agentTeam) resolvedMode = 'agent-team';
  else if (supports.subagent) resolvedMode = 'subagent';
  else resolvedMode = 'sequential';
} else if (probeEnabled && requestedMode === 'agent-team' && !supports.agentTeam) {
  resolvedMode = supports.subagent ? 'subagent' : 'sequential';
} else if (probeEnabled && requestedMode === 'subagent' && !supports.subagent) {
  resolvedMode = 'sequential';
}

Resolution precedence:

1. Explicit user request in this run (agent team => agent-team; subagent => subagent; sequential; auto)
2. tea_execution_mode from config
3. Runtime capability fallback (when probing enabled)

1. Gap Analysis

Identify uncovered requirements:

const uncoveredRequirements = traceabilityMatrix.filter((req) => req.coverage === 'NONE');
const partialCoverage = traceabilityMatrix.filter((req) => req.coverage === 'PARTIAL');
const unitOnlyCoverage = traceabilityMatrix.filter((req) => req.coverage === 'UNIT-ONLY');

Prioritize gaps by risk:

const criticalGaps = uncoveredRequirements.filter((req) => req.priority === 'P0');
const highGaps = uncoveredRequirements.filter((req) => req.priority === 'P1');
const mediumGaps = uncoveredRequirements.filter((req) => req.priority === 'P2');
const lowGaps = uncoveredRequirements.filter((req) => req.priority === 'P3');

---

2. Coverage Heuristics Checks

Use the heuristics inventory from Step 2 and mapped criteria from Step 3 to flag common coverage blind spots:

const endpointCoverageGaps = coverageHeuristics?.endpoints_without_tests || [];
const authCoverageGaps = coverageHeuristics?.auth_missing_negative_paths || [];
const errorPathGaps = coverageHeuristics?.criteria_happy_path_only || [];

const heuristicGapCounts = {
  endpoints_without_tests: endpointCoverageGaps.length,
  auth_missing_negative_paths: authCoverageGaps.length,
  happy_path_only_criteria: errorPathGaps.length,
};

Heuristics are advisory but must influence gap severity and recommendations, especially for P0/P1 criteria.

---

3. Generate Recommendations

Based on gap analysis:

const recommendations = [];

// Critical gaps (P0)
if (criticalGaps.length > 0) {
  recommendations.push({
    priority: 'URGENT',
    action: `Run /bmad:tea:atdd for ${criticalGaps.length} P0 requirements`,
    requirements: criticalGaps.map((r) => r.id),
  });
}

// High priority gaps (P1)
if (highGaps.length > 0) {
  recommendations.push({
    priority: 'HIGH',
    action: `Run /bmad:tea:automate to expand coverage for ${highGaps.length} P1 requirements`,
    requirements: highGaps.map((r) => r.id),
  });
}

// Partial coverage
if (partialCoverage.length > 0) {
  recommendations.push({
    priority: 'MEDIUM',
    action: `Complete coverage for ${partialCoverage.length} partially covered requirements`,
    requirements: partialCoverage.map((r) => r.id),
  });
}

if (endpointCoverageGaps.length > 0) {
  recommendations.push({
    priority: 'HIGH',
    action: `Add API tests for ${endpointCoverageGaps.length} uncovered endpoint(s)`,
    requirements: endpointCoverageGaps.map((r) => r.id || r.endpoint || 'unknown'),
  });
}

if (authCoverageGaps.length > 0) {
  recommendations.push({
    priority: 'HIGH',
    action: `Add negative-path auth/authz tests for ${authCoverageGaps.length} requirement(s)`,
    requirements: authCoverageGaps.map((r) => r.id || 'unknown'),
  });
}

if (errorPathGaps.length > 0) {
  recommendations.push({
    priority: 'MEDIUM',
    action: `Add error/edge scenario tests for ${errorPathGaps.length} happy-path-only criterion/criteria`,
    requirements: errorPathGaps.map((r) => r.id || 'unknown'),
  });
}

// Quality issues
recommendations.push({
  priority: 'LOW',
  action: 'Run /bmad:tea:test-review to assess test quality',
  requirements: [],
});

---

4. Calculate Coverage Statistics

const totalRequirements = traceabilityMatrix.length;
const coveredRequirements = traceabilityMatrix.filter((r) => r.coverage === 'FULL' || r.coverage === 'PARTIAL').length;
const fullyCovered = traceabilityMatrix.filter((r) => r.coverage === 'FULL').length;

const safePct = (covered, total) => (total > 0 ? Math.round((covered / total) * 100) : 100);
const coveragePercentage = safePct(fullyCovered, totalRequirements);

// Priority-specific coverage
const p0Total = traceabilityMatrix.filter((r) => r.priority === 'P0').length;
const p0Covered = traceabilityMatrix.filter((r) => r.priority === 'P0' && r.coverage === 'FULL').length;
const p1Total = traceabilityMatrix.filter((r) => r.priority === 'P1').length;
const p1Covered = traceabilityMatrix.filter((r) => r.priority === 'P1' && r.coverage === 'FULL').length;
const p2Total = traceabilityMatrix.filter((r) => r.priority === 'P2').length;
const p2Covered = traceabilityMatrix.filter((r) => r.priority === 'P2' && r.coverage === 'FULL').length;
const p3Total = traceabilityMatrix.filter((r) => r.priority === 'P3').length;
const p3Covered = traceabilityMatrix.filter((r) => r.priority === 'P3' && r.coverage === 'FULL').length;

const p0CoveragePercentage = safePct(p0Covered, p0Total);
const p1CoveragePercentage = safePct(p1Covered, p1Total);
const p2CoveragePercentage = safePct(p2Covered, p2Total);
const p3CoveragePercentage = safePct(p3Covered, p3Total);

---

5. Generate Complete Coverage Matrix

Compile all Phase 1 outputs:

const coverageMatrix = {
  phase: 'PHASE_1_COMPLETE',
  generated_at: new Date().toISOString(),

  requirements: traceabilityMatrix, // Full matrix from Step 3

  coverage_statistics: {
    total_requirements: totalRequirements,
    fully_covered: fullyCovered,
    partially_covered: partialCoverage.length,
    uncovered: uncoveredRequirements.length,
    overall_coverage_percentage: coveragePercentage,

    priority_breakdown: {
      P0: { total: p0Total, covered: p0Covered, percentage: p0CoveragePercentage },
      P1: { total: p1Total, covered: p1Covered, percentage: p1CoveragePercentage },
      P2: { total: p2Total, covered: p2Covered, percentage: p2CoveragePercentage },
      P3: { total: p3Total, covered: p3Covered, percentage: p3CoveragePercentage },
    },
  },

  gap_analysis: {
    critical_gaps: criticalGaps,
    high_gaps: highGaps,
    medium_gaps: mediumGaps,
    low_gaps: lowGaps,
    partial_coverage_items: partialCoverage,
    unit_only_items: unitOnlyCoverage,
  },

  coverage_heuristics: {
    endpoint_gaps: endpointCoverageGaps,
    auth_negative_path_gaps: authCoverageGaps,
    happy_path_only_gaps: errorPathGaps,
    counts: heuristicGapCounts,
  },

  recommendations: recommendations,
};

---

6. Output Coverage Matrix to Temp File

Write to temp file for Phase 2:

const outputPath = '{tempOutputFile}';
fs.writeFileSync(outputPath, JSON.stringify(coverageMatrix, null, 2), 'utf8');

console.log(`✅ Phase 1 Complete: Coverage matrix saved to ${outputPath}`);

---

7. Display Phase 1 Summary

✅ Phase 1 Complete: Coverage Matrix Generated

📊 Coverage Statistics:
- Total Requirements: {totalRequirements}
- Fully Covered: {fullyCovered} ({coveragePercentage}%)
- Partially Covered: {partialCoverage.length}
- Uncovered: {uncoveredRequirements.length}

🎯 Priority Coverage:
- P0: {p0Covered}/{p0Total} ({p0CoveragePercentage}%)
- P1: {p1Covered}/{p1Total} ({p1CoveragePercentage}%)
- P2: {p2Covered}/{p2Total} ({p2CoveragePercentage}%)
- P3: {p3Covered}/{p3Total} ({p3CoveragePercentage}%)

⚠️ Gaps Identified:
- Critical (P0): {criticalGaps.length}
- High (P1): {highGaps.length}
- Medium (P2): {mediumGaps.length}
- Low (P3): {lowGaps.length}

🔍 Coverage Heuristics:
- Endpoints without tests: {endpointCoverageGaps.length}
- Auth negative-path gaps: {authCoverageGaps.length}
- Happy-path-only criteria: {errorPathGaps.length}

📝 Recommendations: {recommendations.length}

🔄 Phase 2: Gate decision (next step)

Orchestration Notes for This Step

When resolvedMode is agent-team or subagent, parallelize only dependency-safe sections:

• Worker A: gap classification (section 1)
• Worker B: heuristics gap extraction (section 2)
• Worker C: coverage statistics (section 4)

Section 3 (recommendation synthesis) depends on outputs from sections 1 and 2, so run it only after Workers A and B complete.

Section 5 remains the deterministic merge point after sections 1-4 are finished.

If resolvedMode is sequential, execute sections 1→7 in order.

---

EXIT CONDITION

PHASE 1 COMPLETE when:

• ✅ Gap analysis complete
• ✅ Recommendations generated
• ✅ Coverage statistics calculated
• ✅ Coverage matrix saved to temp file
• ✅ Summary displayed

Proceed to Phase 2 (Step 5: Gate Decision)

---

8. Save Progress

Save this step's accumulated work to {outputFile}.

• If {outputFile} does not exist (first save), create it using the workflow template (if available) with YAML frontmatter:

  ---
  stepsCompleted: ['step-04-analyze-gaps']
  lastStep: 'step-04-analyze-gaps'
  lastSaved: '{date}'
  ---
  

  Then write this step's output below the frontmatter.

• If {outputFile} already exists, update:

  • Add 'step-04-analyze-gaps' to stepsCompleted array (only if not already present)
  • Set lastStep: 'step-04-analyze-gaps'
  • Set lastSaved: '{date}'
  • Append this step's output to the appropriate section of the document.

Load next step: {nextStepFile}

---

🚨 PHASE 1 SUCCESS METRICS

✅ SUCCESS:

• Coverage matrix complete and accurate
• All gaps identified and prioritized
• Recommendations actionable
• Temp file output valid JSON

❌ FAILURE:

• Coverage matrix incomplete
• Gap analysis missing
• Invalid JSON output

Master Rule: Phase 1 MUST output complete coverage matrix to temp file before Phase 2 can proceed.