feat(ACTIVITY-WP-0016-T02): strict bounded daily-triage output schema

Replace the accept-anything recommendations.items ({type: object}) with a strict
per-item contract (required [rank, candidate, action, why] + typed wsjf) and a
maxItems:7 hint. Strict item structure is what lets the T03 boundary parser
validate each recommendation independently and quarantine only malformed ones.

maxItems is a producer hint (prompt + llm-connect json_schema + T03 mitigation),
NOT a hard reject — a hard maxItems reject would discard a whole 16-item report,
the blast-radius bug WP-0016 removes. DEPLOY COUPLING: the strict schema is also
consumed by the current whole-doc validator, so it must ship with T03's per-item
quarantine parser; until then it increases whole-doc hard-fails. Prompt + max_tokens
headroom + NDJSON framing are documented as a runtime-bundle handoff.

Updated four tests to the strict contract; the forwarded-schema test now reads the
live schema file instead of hard-coding it. Full suite: 213 passed, 1 skipped.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

tests/rules/test_executor.py

@@ -333,7 +333,14 @@ def test_execute_instruction_forwards_output_schema_to_llm_connect(tmp_path, mon
 def test_execute_instruction_with_audit_accepts_report_payload():
     report_data = {
         "summary": "State Hub has loose ends.",
-        "recommendations": [{"action": "revisit", "candidate": "CUST-WP-0045"}],
+        "recommendations": [
+            {
+                "rank": 1,
+                "action": "revisit",
+                "candidate": "CUST-WP-0045",
+                "why": "Loose ends need attention.",
+            }
+        ],
     }
     llm = _CountingLLM([json.dumps(report_data)])
     instr = _instr(
@@ -353,7 +360,14 @@ def test_execute_instruction_with_audit_accepts_report_payload():
 def test_execute_instruction_with_audit_accepts_fenced_report_payload():
     report_data = {
         "summary": "State Hub has loose ends.",
-        "recommendations": [{"action": "revisit", "candidate": "CUST-WP-0045"}],
+        "recommendations": [
+            {
+                "rank": 1,
+                "action": "revisit",
+                "candidate": "CUST-WP-0045",
+                "why": "Loose ends need attention.",
+            }
+        ],
     }
     llm = _CountingLLM([f"```json\n{json.dumps(report_data)}\n```"])
     instr = _instr(