feat(engine): expose native technique layers in the consultation output

TASK-consult-evidence-card-v2-20260927 T1. New module
scripts/consultation_native_layers.py, thinly registered after the merged
engine fields in _attach_local_consultation_layers (no handler method, no new
forgery site). It writes one new top-level chart key,
chart.consultation_native_layers, kept out of chart.modules so the thematic
report's full_reading_module_count does not move:

- d9_summary: D9 lagna, each planet's D9 sign and dignity
  (jyotish_engine._get_dignity_level), Vargottama (_calc_vargottama),
  D1<->D9 reversals
- punarphoo (punarphoo.detect_punarphoo, observation_only)
- vivah_saham (jyotish_engine._calc_vivah_saham), day_night (gulika)
- slow_transits: Jupiter / Saturn / Rahu / Ketu now with natal house and the
  Jupiter / Saturn SAV / BAV, and the next twelve months' ingress / station
  dates (ephemeris_events; nodes by the same daily-noon sampling)
- double_transit: cmd_double_transit_pac for houses 1-12, conclusions only,
  plus DK / UL targets by the same PAC rule
- karakamsha, argala, dispositor_chains, inter_chart_linkage, moon_transit
  (lookup-only layers)
- annual_tajika on the annual route: build_annual_tajika_pack (annual lagna,
  Varshesha, Muntha, Mudda Dasha with dates, Sun / Moon / year-lord Tajika
  aspects), parameter_sensitive; blocked when the pack is not reliable,
  never natal data

A/B on 3 public AA charts x 4 routes: every existing output is identical,
only the new key is added; about 40 ms per workflow. Golden regenerated with
annual and timing routes (family workflow byte-identical apart from the new
key).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017eEAG8HD3mm8gsKXgk8uU8

scripts/research/capture_consult_evidence_card_golden.py

@@ -1,9 +1,12 @@
 """Capture real engine consultation responses for the evidence-card tests.
 
 Three public AA charts (Steve Jobs, Barack Obama, Elizabeth Taylor), the
-research reference date, raman ayanamsa, mean nodes, family route. External
-VedAstro is not called (same stand-in as the research runner). The response is
-trimmed by key only: every kept value is the engine's own value, unchanged.
+research reference date, raman ayanamsa, mean nodes. Each chart carries the
+family route (`workflow`) and, for evidence card v2, the annual
+(`annual_workflow`) and timing (`timing_workflow`) routes with the frontend's
+default twelve-month horizon. External VedAstro is not called (same stand-in
+as the research runner). Each response is trimmed by key only: every kept
+value is the engine's own value, unchanged.
 
     PYTHONHASHSEED=0 python scripts/research/capture_consult_evidence_card_golden.py
 """
@@ -36,7 +39,15 @@ TOP_KEEP = (
     "range_boundary_contexts",
 )
 RECTIFICATION_KEEP = ("effective_accuracy", "lagna_boundary", "summary", "enabled_vargas")
-CHART_KEEP = ("success", "birth", "ascendant", "planets", "houses", "shadbala", "dasha", "yogas")
+CHART_KEEP = (
+    "success", "birth", "ascendant", "planets", "houses", "shadbala", "dasha", "yogas",
+    # Evidence card v2: native technique layers (scripts/consultation_native_layers.py).
+    "consultation_native_layers",
+)
+EXTRA_ROUTES = (
+    ("annual_workflow", {"id": "annual", "domain": "annual", "question": "未来一年重点是什么？"}),
+    ("timing_workflow", {"id": "timing", "domain": "timing", "question": "接下来一年哪些时间点重要？"}),
+)
 MODULE_KEEP = (
     "varga_spectrum", "shadbala", "arudha_padas", "jaimini", "narayana_dasha",
     "ashtakavarga", "dasha_sub_periods", "kp_cusps", "gulika",
@@ -70,14 +81,17 @@ def main() -> int:
     charts = []
     for chart in load_public_charts(ROOT):
         workflow = runner._run_workflow(runner._workflow_body(chart, question))
-        charts.append({
+        entry = {
             "id": chart["id"],
             "label": chart["label"],
             "source": chart["source"],
             "case_id": chart["case_id"],
             "rodden_rating": chart["rodden_rating"],
             "workflow": trim(workflow),
-        })
+        }
+        for key, extra in EXTRA_ROUTES:
+            entry[key] = trim(runner._run_workflow(runner._workflow_body(chart, extra)))
+        charts.append(entry)
     payload = {
         "source": "scripts/research/capture_consult_evidence_card_golden.py",
         "note": "Real engine consultation_workflow responses for three public AA charts, trimmed by key only.",
@@ -86,6 +100,7 @@ def main() -> int:
         "node_mode": NODE_MODE,
         "route": question["domain"],
         "question": question["question"],
+        "extra_routes": {key: extra for key, extra in EXTRA_ROUTES},
         "external_vedastro": "not_called",
         "charts": charts,
     }

scripts/research/consult_evidence_card_run.py

@@ -74,7 +74,9 @@ def _workflow_body(chart: dict[str, Any], question: dict[str, str]) -> dict[str,
         "claim_boundary": contract.claim_boundary,
         "plan_depth": "standard",
         "requested_domains": list(contract.requested_domains),
-        "timing_horizon": None,
+        # The frontend plan defaults timing / annual to the next twelve months;
+        # the engine refuses those two routes without a horizon.
+        "timing_horizon": "next_12_months" if domain in ("timing", "annual") else None,
         "precision_boundary": "server_evidence_required",
         "required_evidence_categories": list(contract.required_evidence_categories),
         "surface": "api_web",