laurigates/test-analyze

Test Analysis and Fix Planning

Analyzes test results from any testing framework, uses Zen planner to create a systematic fix strategy, and delegates fixes to appropriate subagents.

When to Use This Skill

| Use this skill when... | Use test-report instead when... | |---|---| | Triaging a directory of failing-test results into a fix plan | You only need a quick cached status read | | Categorizing flaky, performance, accessibility, or security failures | Running the tests in the first place (use test-run) | | Delegating fixes to specialized subagents | Asking strategic "how should we test X?" questions (use test-consult) | | Producing a structured plan from JUnit XML or coverage output | Iterating on a single failing spec (use test-focus) |

Usage

/test:analyze <results-path> [--type <test-type>] [--focus <area>]

Parameters

• <results-path>: Path to test results directory or file (required)

  • Examples: ./test-results/, ./coverage/, pytest-report.xml

• --type <test-type>: Type of tests (optional, auto-detected if omitted)

  • accessibility - Playwright a11y, axe-core
  • unit - Jest, pytest, cargo test
  • integration - API tests, database tests
  • e2e - Playwright, Cypress, Selenium
  • security - OWASP ZAP, Snyk, TruffleHog
  • performance - Lighthouse, k6, JMeter

• --focus <area>: Specific area to focus on (optional)

  • Examples: authentication, api, ui-components, database

Examples

# Analyze Playwright accessibility test results
/test:analyze ./test-results/ --type accessibility

# Analyze unit test failures with focus on auth
/test:analyze ./coverage/junit.xml --type unit --focus authentication

# Auto-detect test type and analyze all issues
/test:analyze ./test-output/

# Analyze security scan results
/test:analyze ./security-report.json --type security

Command Flow

1. Analyze Test Results

   • Parse test result files (XML, JSON, HTML, text)
   • Extract failures, errors, warnings
   • Categorize issues by type and severity
   • Identify patterns and root causes

2. Plan Fixes with PAL Planner

   • Use mcp__pal__planner for systematic planning
   • Break down complex fixes into actionable steps
   • Identify dependencies between fixes
   • Estimate effort and priority

3. Delegate to Subagents

   • Accessibility issues → code-review agent (WCAG compliance)
   • Security vulnerabilities → security-audit agent
   • Performance problems → system-debugging agent
   • Code quality issues → code-refactoring agent
   • Test infrastructure → test-architecture agent
   • Integration failures → system-debugging agent
   • Documentation gaps → documentation agent

4. Execute Plan

   • Sequential execution based on dependencies
   • Verification after each fix
   • Re-run tests to confirm resolution

Subagent Selection Logic

The command uses this decision tree to delegate:

• Accessibility violations (WCAG, ARIA, contrast) → code-review agent with accessibility focus

• Security issues (XSS, SQLi, auth bypass) → security-audit agent with OWASP analysis

• Performance bottlenecks (slow queries, memory leaks) → system-debugging agent with profiling

• Code smells (duplicates, complexity, coupling) → code-refactoring agent with SOLID principles

• Flaky tests (race conditions, timing issues) → test-architecture agent with stability analysis

• Build/CI failures (pipeline errors, dependency issues) → cicd-pipelines agent with workflow optimization

Output

The command produces:

1. Summary Report

   • Total issues found
   • Breakdown by category/severity
   • Top priorities

2. Fix Plan (from PAL planner)

   • Step-by-step remediation strategy
   • Dependency graph
   • Effort estimates

3. Subagent Assignments

   • Which agent handles which issues
   • Rationale for delegation
   • Execution order

4. Actionable Next Steps

   • Commands to run
   • Files to modify
   • Verification steps

Notes

• Works with any test framework that produces structured output
• Auto-detects common test result formats (JUnit XML, JSON, TAP)
• Preserves test evidence for debugging
• Can be chained with /git:smartcommit for automated fixes
• Respects TDD workflow (RED → GREEN → REFACTOR)

Related Commands

• /test:run - Run tests with framework detection
• /code:review - Manual code review for test files
• /docs:update - Update test documentation
• /git:smartcommit - Commit fixes with conventional messages

---

Prompt:

Analyze test results from {{ARG1}} and create a systematic fix plan.

{{#if ARG2}} Test type: {{ARG2}} {{else}} Auto-detect test type from file formats and content. {{/if}}

{{#if ARG3}} Focus area: {{ARG3}} {{/if}}

Step 1: Analyze Test Results

Read the test result files from {{ARG1}} and extract:

• Failed tests with error messages
• Warnings and deprecations
• Performance metrics (if available)
• Coverage gaps (if available)
• Categorize by: severity (critical/high/medium/low), type (functional/security/performance/accessibility)

Step 2: Use PAL Planner

Call mcp__pal__planner with model "gemini-2.5-pro" to create a systematic fix plan:

• Step 1: Summarize findings and identify root causes
• Step 2: Prioritize issues (impact × effort matrix)
• Step 3: Break down fixes into actionable tasks
• Step 4: Identify dependencies between fixes
• Step 5: Assign each fix category to appropriate subagent
• Continue planning steps as needed for complex scenarios

Step 3: Subagent Delegation Strategy

Based on the issue categories, delegate to:

• Accessibility violations (WCAG, ARIA, color contrast, keyboard nav) → Use Task tool with subagent_type: code-review → Focus: WCAG 2.1 compliance, semantic HTML, ARIA best practices

• Security vulnerabilities (XSS, SQLi, CSRF, auth issues) → Use Task tool with subagent_type: security-audit → Focus: OWASP Top 10, input validation, authentication

• Performance issues (slow tests, memory leaks, timeouts) → Use Task tool with subagent_type: system-debugging → Focus: Profiling, bottleneck identification, optimization

• Code quality (duplicates, complexity, maintainability) → Use Task tool with subagent_type: code-refactoring → Focus: SOLID principles, DRY, code smells

• Flaky/unreliable tests (race conditions, timing, dependencies) → Use Task tool with subagent_type: test-architecture → Focus: Test stability, isolation, determinism

• CI/CD failures (build errors, pipeline issues) → Use Task tool with subagent_type: cicd-pipelines → Focus: GitHub Actions, dependency management, caching

• Documentation gaps (missing docs, outdated examples) → Use Task tool with subagent_type: documentation → Focus: API docs, test documentation, migration guides

Step 4: Create Execution Plan

For each subagent assignment:

1. Context: What files/areas need attention
2. Objective: Specific fix goal
3. Success Criteria: How to verify the fix
4. Dependencies: What must be done first
5. Verification: Commands to re-run tests

Step 5: Present Summary

Provide:

• 📊 Issue Breakdown: Count by category and severity
• 🎯 Priorities: Top 3-5 issues to fix first
• 🤖 Subagent Plan: Which agents will handle what
• ✅ Next Steps: Concrete actions to take
• 🔍 Verification: How to confirm fixes worked

{{#if ARG3}} Additional focus on {{ARG3}}: Prioritize issues related to this area and provide extra context for relevant subagents. {{/if}}

Documentation-First Reminder: Before implementing fixes, research relevant documentation using context7 to verify:

• Test framework best practices
• Accessibility standards (WCAG 2.1)
• Security patterns (OWASP)
• Performance optimization techniques

TDD Workflow: Follow RED → GREEN → REFACTOR:

1. Verify tests fail (RED) ✓ (already done)
2. Implement minimal fix (GREEN)
3. Refactor for quality
4. Re-run tests to confirm

Do you want me to proceed with the analysis and planning, or would you like to review the plan first?