What problem does it solve?
It helps answer whether a defined group will actually perform a real-world action in a specific setting, instead of confusing intent, opinions, or engagement with observed behavior.
Core Features & Use Cases
- Evidence-backed verdicts: Produces a labeled judgment such as LIKELY, UNLIKELY, UNCERTAIN, INSUFFICIENT EVIDENCE, or UNVALIDATED HYPOTHESIS.
- Behavioral research workflow: Separates observed actions from self-report, mechanisms, and inference while checking live primary sources.
- Scope and safety checks: Forces the user to define the actor, action, setting, cost, alternative, and time window before judging.
- Ethical test planning: Recommends the smallest reversible, consented test with clear thresholds, stop rules, privacy, rollback, and opt-out controls.
Quick Start
Ask the skill to verdict a clearly defined human behavior question, such as whether a specific population will perform a specific action in a stated setting and time window.