Historical Failure Mode Analysis
knowledge skill
Analyzes documented failures in similar systems or past deployments to identify recurring root causes and mitigation gaps. Produces a structured report listing failure modes, contributing factors, and recommended corrective actions. This is distinct from general risk assessment by focusing exclusively on historical incidents with verifiable outcomes.
Worked examples
- {"input": {"system_domain": "autonomous_vehicle", "failure_catalog": ["sensor_failure", "software_update_crash"], "time_window": "P5Y"}, "output": {"failure_modes": [{"mode": "sensor_failure", "root_cause": "ice_formation_blocking_lidar", "frequency": 0.32}], "mitigation_recommendations": ["install_ice_detection_heaters", "add_redundant_cameras"], "confidence_scores": {"sensor_failure": 0.87, "software_update_crash": 0.74}}}
- {"input": {"system_domain": "power_grid", "failure_catalog": ["transformer_overload", "cyber_attack"], "time_window": "P10Y"}, "output": {"failure_modes": [{"mode": "transformer_overload", "root_cause": "unexpected_solar_flares", "frequency": 0.28}], "mitigation_recommendations": ["upgrade_transformer_cooling", "implement_rapid_load_shedding"], "confidence_scores": {"transformer_overload": 0.91, "cyber_attack": 0.63}}}
Input
- system_domain: string (e.g., 'autonomous_vehicle', 'power_grid')
- failure_catalog: array of strings (e.g., ['battery_fire', 'sensor_occlusion'])
- time_window: string (ISO 8601 duration, e.g., 'P2Y')
Output
- failure_modes: array of objects
- mitigation_recommendations: array of strings
- confidence_scores: object
Details
- Skill type: knowledge skill
- Safety level: safe_public_research
- Version: 1.0.0