3.6 KiB
3.6 KiB
description, argument-hint, allowed-tools
| description | argument-hint | allowed-tools |
|---|---|---|
| Check the status and health of scientific workflows | <workflow-name> [detailed] | Task, Read, Bash, mcp__filesystem__* |
Workflow Status Check
Workflow: $ARGUMENTS
I'll provide a comprehensive status report for your scientific workflow, including execution status, performance metrics, and health indicators.
Current Status Overview
Execution Status
- State: Running/Completed/Failed/Paused
- Progress: 75% (Stage 3 of 4)
- Runtime: 2h 15m elapsed
- Estimated completion: 45 minutes remaining
Resource Utilization
- CPU Usage: 85% (12/16 cores)
- Memory Usage: 24GB / 32GB
- Storage I/O: 125 MB/s read, 89 MB/s write
- Network: 45 MB/s (if applicable)
Stage-by-Stage Progress
✅ Stage 1: Data Preparation (Data Expert)
- Status: Completed
- Duration: 25 minutes
- Output: 2.1GB processed dataset
- Quality: All validation checks passed
✅ Stage 2: Initial Analysis (Analysis Expert)
- Status: Completed
- Duration: 45 minutes
- Output: Statistical summary report
- Quality: All metrics within expected ranges
🔄 Stage 3: Advanced Processing (HPC Expert)
- Status: Running
- Duration: 1h 5m (so far)
- Progress: 75% complete
- Current Task: Parallel computation on 8 nodes
⏳ Stage 4: Final Validation (Research Expert)
- Status: Pending
- Estimated Duration: 30 minutes
- Dependencies: Stage 3 completion
Expert Coordination Status
Active Experts
- Data Expert: Monitoring data quality
- HPC Expert: Managing compute resources
- Analysis Expert: Available for consultation
- Research Expert: Preparing validation procedures
- Workflow Expert: Coordinating overall execution
Communication Status
- Inter-expert messaging: Active
- Data transfer: Optimized
- Error reporting: Real-time
- Progress updates: Every 5 minutes
Performance Metrics
Efficiency Indicators
- Resource efficiency: 92% (CPU utilization vs. requirements)
- Data processing rate: 45.2 MB/s
- Parallel efficiency: 88% (8-node scaling)
- I/O efficiency: 78% (storage bandwidth utilization)
Quality Metrics
- Data integrity: 100% (no corruption detected)
- Result accuracy: 99.7% (validation checks)
- Error rate: 0.02% (minimal errors handled)
- Recovery success: 100% (all errors recovered)
Alerts & Issues
⚠️ Minor Issues
- Storage I/O: Running at 78% of optimal bandwidth
- Memory usage: Approaching 75% limit
- Network latency: 15ms (acceptable)
✅ Resolved Issues
- Node connectivity: Previously intermittent, now stable
- Data transfer bottleneck: Optimized with compression
- Memory fragmentation: Resolved with restart
Recommendations
Immediate Actions
- Monitor memory usage - Close to limit
- Consider I/O optimization - Storage performance could be improved
- Prepare for Stage 4 - Validation procedures ready
Future Improvements
- Resource allocation: Consider increasing memory for similar workflows
- Data staging: Implement data staging to improve I/O performance
- Checkpoint frequency: Optimize checkpoint intervals for this workload type
Quick Actions
- Pause workflow: Temporarily stop execution
- Resume workflow: Continue from current state
- View logs: Detailed execution logs
- Get expert help: Consult specific experts
- Modify parameters: Update workflow settings
The workflow is executing normally with good performance and should complete successfully within the estimated time.