Implement test result reporting and tracking

[Folyd]

Add structured test output and tracking to enable better analysis and AI agent integration.

Tasks

• Add JSON output format for test results
• Create test result parser/analyzer
• Archive test results in CI artifacts
• Track test execution time over time
• Implement flaky test detection:
  • Run tests multiple times
  • Track failure patterns
  • Report flaky tests
• Add test metadata:
  • Category tags
  • Priority levels
  • Dependencies between tests
• Create test result dashboard (optional)
• Document test result format for AI agents

Acceptance Criteria

• Test results available in structured JSON format
• Test history is tracked in CI artifacts
• Flaky tests are detected and reported
• Test metadata enables automated analysis
• Documentation for AI agent integration is complete

AI Agent Integration

Tests should output metadata for automated review:

{
  "test": "test_seal_message",
  "status": "passed",
  "duration_ms": 45,
  "category": "crypto",
  "priority": "critical",
  "coverage": 95.2
}

Priority

Medium - Enables automation and analysis

Part of #245