Autonomous System Architecture Verifier
Verify autonomous architectures with built-in safety analysis and FMEA
What You Can Do
You can systematically design and validate autonomous system architectures by identifying failure modes, analyzing safety constraints, and assessing redundancy mechanisms. The skill generates comprehensive Failure Mode and Effects Analysis (FMEA), maps single points of failure, and prepares compliance documentation for safety-critical deployments. You'll receive actionable architectural recommendations and risk-prioritized hazard matrices to guide design decisions before implementation.
Features
Systematically identify failure modes, consequences, and mitigation strategies with severity/occurrence/detectability ratings
Review and recommend autonomous system design patterns including hierarchical control, reactive systems, and hybrid approaches
Identify critical components and dependencies that pose unacceptable safety risks
Verify system architecture against ISO 26262, IEC 61508, and DO-178C requirements
Evaluate backup systems, failover mechanisms, and graceful degradation strategies
Analyze latency, throughput, and timing constraints for safety-critical control loops
Generate risk matrices that prioritize hazards by severity and detectability
Prepare compliance documentation and identify gaps against target safety standards
Example Output
FMEA Table Output:
| Component | Failure Mode | Severity | Occurrence | Detectability | RPN | Mitigation |
|---|---|---|---|---|---|---|
| LiDAR Sensor | Complete sensor failure | 9 | 3 | 4 | 108 | Dual LiDAR with cross-validation; fallback to radar-only mode |
| GPS/INS | Loss of position estimate | 8 | 4 | 3 | 96 | Visual odometry backup; geofencing halt |
Architecture Assessment:
- ✓ Strengths: Redundant propulsion, dual flight computers, watchdog timers
- ✗ Weakness: Single point of failure in communication link to ground station
- ⚠ Risk: Sensor fusion assumes synchronized clock across all devices
Safety Constraint Validation:
- ISO 26262 ASIL-B requires dual-channel monitoring: ❌ Current single-channel design
- Max response latency <100ms: ✓ Verified at 45ms average (worst-case 78ms)
- Detectability of safety violations: ⚠ Partial (loss of actuator feedback undetected)
What's Included
- SKILL.md: Complete verification methodology with decision trees and analysis workflows
- FMEA Template: Structured spreadsheet and prompts for systematic failure analysis
- Architecture Patterns Reference: Design patterns for autonomous systems (hierarchical, reactive, hybrid)
- Safety Standards Checklist: Requirements mapping for ISO 26262, IEC 61508, DO-178C
- Redundancy Assessment Worksheet: Evaluation framework for backup systems and failover mechanisms
- Hazard Analysis Report Template: Risk matrices and compliance documentation
- Real-Time Constraint Analysis Tool: Latency and timing verification checklist
Who It's For
- Autonomous vehicle (AV) engineers designing safety-critical transportation systems
- Robotics architects and mobile manipulation platform designers
- Drone/UAV system engineers developing commercial and industrial applications
- AI/ML systems architects working on safety-critical autonomous applications
- Safety engineers and compliance officers preparing for certification
- Systems engineers managing complex autonomous systems with multiple subsystems
Best For
- Pre-design safety analysis and architecture validation before implementation
- Identifying and eliminating single points of failure in autonomous systems
- Preparing certification documentation for ISO 26262, IEC 61508, DO-178C compliance
- Validating redundancy strategies and failover mechanisms
- Analyzing sensor fusion, perception, and decision-making architectures
- Risk assessment and hazard prioritization for autonomous system deployments
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