commonground-scenarios

Deterministic, offline scenario generation for the Common Ground environment family. Each generated scenario contains a fictional organization, policy documents, planted ambiguities/contradictions/gaps, precise distractors, a seeded persona panel, and provenance.

Every canonical clarifying question is phrased as a yes/no proposition. Its target_stances have an explicit interpretation: agree predicts yes, disagree predicts no, and pass means the faction takes no position. Templates may also author a finite canonical_question_aliases allowlist. Aliases obey the same yes/no form and are kept distinct across the answer key.

The default generator uses committed templates only. An operator may inject a prose-polishing callback, but no model client or network path is built into the package, and validation requires every planted anchor to survive polishing.

Training and held-out template registries are disjoint. Generated scenarios are canonical JSON and can be regenerated byte-for-byte from the same template, seed, and explicit generation date.