Flight Risk Assessment Prover Connector for AI agents.

It forces your AI agent to conduct rigorous, ICAO-standard safety audits. It moves past vague weather summaries to provide quantifiable risk indices and defensible go/no-go decisions.

It automates the rigor required for Safety Management Systems by forcing the AI to map safety barriers across organizational and supervisory layers.

Yes. It eliminates the tendency to simply 'proceed with caution' by requiring a binary decision based on specific threat parameters and risk scoring.

It does. The Connector forces the AI to use the SHELL model and IMSAFE checklists to analyze fatigue, stress, and other human factors.

It requires the AI to cite specific METAR/TAF data, including crosswind components and RVR, to calculate a compound risk index.

Yes. It checks for alignment across the Swiss Cheese layers to see if multiple mechanical issues combined with environmental factors create a critical safety gap.

Standard capabilities accept 'medium risk' as an answer. This Prover rejects anything that is not quantified on the ICAO 5×5 matrix with probability (A-E) and severity (1-5). It catches 5 specific failure modes: generic threats without METAR data, adjective-based risk without numerical scoring, missing Swiss Cheese barrier analysis, human factors reduced to 'pilot error' instead of SHELL/IMSAFE, and sycophantic go-bias where the AI says 'proceed with caution' instead of committing NO-GO when the data demands it.

The engine maintains a semantic trap list of go-bias phrases: 'proceed with caution,' 'acceptable to proceed,' 'can proceed,' 'within acceptable limits.' If the LLM uses any of these instead of an explicit GO or NO-GO decision with pre-defined criteria, the assessment is rejected with GO_BIAS verdict. The LLM must define NO-GO criteria BEFORE the assessment and then commit to a binary decision defensible on a CVR transcript.

Five industry-standard frameworks: (1) ICAO Annex 19 Safety Management System. proactive hazard identification and risk assessment. (2) ICAO 5×5 Risk Matrix. probability × severity quantification. (3) Reason's Swiss Cheese Model. multi-layer defense analysis with hole alignment detection. (4) SHELL Model. Software-Hardware-Environment-Liveware interaction analysis for human factors. (5) Threat and Error Management (TEM). threat categorization into environmental, airline, and crew factors per FAA AC 120-92B.