feat(product): present consult and rectification in local skill form

Default ayanamsa to Raman with true_pushya support, attach governed Raman packets, restore Path C questionnaires and eight-method verification copy, and keep unique-minute confirmation blocked.

Co-authored-by: Cursor <cursoragent@cursor.com>

scripts/active_rectification_questions.py

@@ -39,7 +39,7 @@ def _candidate_scan(
     lat: float | None = None,
     lon: float | None = None,
     tz: float | None = None,
-    ayanamsa: str = "lahiri",
+    ayanamsa: str = "raman",
 ) -> dict[str, Any]:
     start = center - timedelta(minutes=uncertainty_minutes)
     end = center + timedelta(minutes=uncertainty_minutes)
@@ -189,7 +189,7 @@ def build_questionnaire(
     lat: float | None = None,
     lon: float | None = None,
     tz: float | None = None,
-    ayanamsa: str = "lahiri",
+    ayanamsa: str = "raman",
 ) -> dict[str, Any]:
     questions = []
     for qid, round_id, domain, sensitivity, window, prompt, yes_bias, no_bias in QUESTION_TEMPLATES: