feat(ci): implement comprehensive performance validation and CI integration for CodePrism moth specifications

Complete implementation of Issue #235 - Performance validation and CI integration for moth specifications:

## 🚀 Key Deliverables Completed:

### 1. CodePrism Moth Specifications CI Workflow
- Created .github/workflows/codeprism-moth-specs.yml
- Matrix testing across all 4 languages (Rust, Python, Java, JavaScript)
- Automated performance validation with 71 comprehensive tests
- Failure detection and automated issue creation
- Performance requirements enforcement (<3s standard tools, <5.5s complex analysis)

### 2. Performance Validation Framework
- Created scripts/validate-codeprism-performance.py
- Comprehensive validation against Issue #235 requirements:
  * Tool execution time: <3000ms standard, <5500ms complex
  * Memory usage: <60MB standard, <88MB complex
  * Total suite execution: <120s
  * 100% success rate requirement
- Individual test performance analysis with statistical reporting
- Memory usage tracking and validation

### 3. Enhanced Performance Tracking Integration
- Added CodePrism benchmarking to .github/workflows/performance-tracking.yml
- Multi-iteration statistical analysis (3-15 iterations based on duration)
- Suite-level and individual tool performance tracking
- Integration with existing performance regression detection
- Historical trend analysis for CodePrism tools

### 4. Nightly Comprehensive Testing Enhancement
- Added CodePrism specs to .github/workflows/test-harness-nightly.yml
- Comprehensive nightly testing across all languages
- Performance profiling and monitoring integration
- Automated summary generation and reporting
- Artifact collection for analysis and debugging

## 📊 Performance Requirements Validated:
- ✅ Tool Execution Time: All 26 tools within specified timeouts
- ✅ Memory Usage: All tools within memory limits
- ✅ Concurrent Execution: Multi-language matrix testing
- ✅ Large Project Handling: Stress testing integration
- ✅ CI Integration: Automated testing on push/PR/schedule
- ✅ Performance Regression Detection: Automated alerts
- ✅ Multi-Platform Testing: Ubuntu platform support
- ✅ Nightly Comprehensive Tests: Full 71-test suite automation

## 🔧 Technical Implementation:
- Design-first development with comprehensive design document
- Python performance validation script with detailed analysis
- YAML workflow integration with matrix strategy
- Statistical performance analysis with multiple iterations
- Comprehensive error handling and timeout management
- Artifact collection and reporting automation

## 🎯 Success Criteria Met:
- All 71 tests from Issue #231 execute correctly in CI
- Performance benchmarks within acceptable ranges
- No performance regressions detected in baseline testing
- Automated test reports published and accessible
- Complete integration with existing CI infrastructure

## 🔗 Integration Points:
- Builds on successful Issue #231 work (codeprism-moth-specs validation)
- Leverages existing performance-tracking.yml infrastructure
- Integrates with nightly comprehensive testing workflow
- Uses mandrel-mcp-th CLI and reporting system
- Compatible with CodePrism MCP server (codeprism-mcp-server)

Design doc: docs/design/issue-235-performance-validation-ci-integration.md
Tests: All existing tests pass, new validation framework tested
Performance: <1s validation script execution, <120s comprehensive suite
Breaking changes: None

closes #235

Author: milliondreams