investigate-root-cause

To investigate the root cause of an inconclusive health condition, this Skill orchestrates a four-agent ensemble combining bottom-up, top-down, genetics-first, and red team reasoning. It integrates labs, medical timelines, and literature to yield a calibrated confidence report.

Differential diagnosis through multi-agent ensemble validation works by spawning four parallel agents with distinct reasoning strategies. It applies adversarial validation and counter-hypothesis generation to surface alternative explanations and minimize cognitive bias.

To use genetics and health data for root-cause hypothesis verification, the system applies mandatory evidence verification and per-hypothesis falsification criteria. It cross-refines findings from multiple agents against integrated data sources and literature.

Yes, you can perform a root-cause investigation for complex cases without external dependencies. The Skill operates autonomously, spawning parallel agents that integrate available medical timelines, current medications, and genetics to generate actionable follow-up steps.

The best way to calibrate confidence for a differential diagnosis is through cross-agent refinement and epidemiological priors. The ensemble generates falsification criteria for each hypothesis, producing a calibrated consensus report with prioritized follow-up actions.