Add story-to-pack research and a structured situation review

Research toward building a content pack from a story corpus, kept on its own
branch and independent of the game. Records the selection experiments against
blind labels, and settles selection as gate G2 followed by a human review:
review.py writes REVIEW.md and a review.json form, apply_review.py checks the
filled form and writes situations.json for the next stage.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01C6UDQ9o6L6Ey173U7XVou6

tools/story-to-pack/probe/apply-test.log

@@ -0,0 +1,16 @@
+test: 41 candidates, 5 labelled 2
+FROZEN RULE S1 >= 0.6119 AND S6 <= 0.1603
+  accepted 5  P2 0.40  P1+ 1.00  R2 0.40
+  baseline accept all candidates      accepted 41  P2 0.12  P1+ 0.51  R2 1.00
+  baseline B0: tightness filter       accepted 18  P2 0.17  P1+ 0.44  R2 0.60
+
+accepted:
+  T05 label 1  schemes, cons and theft over money
+  T07 label 1  courtship
+  T25 label 1  trying to impress or win someone's favour
+  T35 label 2  coercion over money: threats, bribes, demands for payment
+  T39 label 2  a spouse schemes against or confronts a spouse over infidelity
+rejected label-2:
+  T16  a newcomer seeks acceptance in a social circle
+  T17  a proposal or engagement, accepted or refused
+  T30  a run-in with the police