diff --git a/.claude/skills/deploy/SKILL.md b/.claude/skills/deploy/SKILL.md
index fabc83fc3..c6e476541 100644
--- a/.claude/skills/deploy/SKILL.md
+++ b/.claude/skills/deploy/SKILL.md
@@ -77,7 +77,7 @@ If gcloud auth fails with `Reauthentication failed` or `cannot prompt during non
 | Docker push fails | Check Docker auth: `gcloud auth configure-docker us-east1-docker.pkg.dev`. If network error, retry. |
 | `ZONE_RESOURCE_POOL_EXHAUSTED` | GCE has no capacity in `us-east1-c`. Wait 10-30 min and retry — GCE capacity is transient. If persistent, try changing machine type in deploy.sh (n2-standard-2 uses a different capacity pool than e2-medium). |
 | No running instance after 160s | GCE capacity exhausted in all zones. Wait and retry, or manually create in a different zone. |
-| Static IP assignment fails | Script retries 3 times. If still fails, the old instance may still hold the IP — wait 30s for MIG replacement. Static IP only works in us-east1 zones. |
+| Static IP assignment fails | Script retries 8 times (~330s total budget including 180s pre-flight) and re-resolves the MIG instance name on every retry to defeat the mid-loop-roll variant. If still fails, follow the manual recovery commands printed at end-of-step 7. Static IP only works in us-east1 zones. |
 | Health check fails via SSH | Container may still be starting — wait 60s and check again. If DB shows ETIMEDOUT, the static IP `34.26.70.60` may not be in Cloud SQL whitelist |
 | Two instances running | Multiple MIGs may exist. The script finds the first RUNNING instance regardless of zone. If stale MIGs are found, delete them: `gcloud compute instance-groups managed delete super-legal-staging --zone=<stale-zone> --quiet` |
 | SSH `REMOTE HOST IDENTIFICATION HAS CHANGED` | Instance was replaced — new host key. Script clears these automatically, but if manual SSH is needed: `sed -i '' '/compute\./d' ~/.ssh/google_compute_known_hosts` |
@@ -124,54 +124,47 @@ gcloud compute ssh super-legal-staging-XXXX --zone=us-east1-c \
 ```
 Wait 60s, then verify via `curl http://34.26.70.60:3001/health | jq '.reconciliation'` — `error` field should disappear.
 
-### Static IP assignment race (recurring)
+### Static IP assignment race (recurring — two distinct failure modes)
 
-**Observed on**: 2026-04-27 v6.7.0 deploy AND 2026-04-28 v6.8.0 deploy.
+The script handles two related race conditions in Step 7. Both have hit production multiple times; both fixes are now in `deploy.sh`.
 
-**Symptom**: Step 7 reports `Failed to assign static IP after N attempts`. Container ends up on an ephemeral IP (e.g., `34.23.108.165`). Cloud SQL whitelist only includes `34.26.70.60`, so `ensureHookSchema()` fails.
+#### Pattern A — OLD instance still holds the IP
 
-**Root cause**: GCE Managed Instance Group terminates the OLD instance and creates the NEW one in parallel. The OLD instance still holds `34.26.70.60` for ~30-60s during graceful termination. The script's previous retry budget (3 attempts × 15s wait = 45s window) was too short.
+**Observed on**: 2026-04-27 v6.7.0, 2026-04-28 v6.8.0.
 
-**Fix in deploy.sh** (Step 7, applied 2026-04-28):
-1. Pre-flight wait: poll `gcloud compute addresses list --filter="address=$STATIC_IP"` until status is `RESERVED` (not `IN_USE`). Up to 90s window.
-2. Bumped retry attempts from 3 → 5 with 30s wait (total: 150s).
-3. Captured stderr to a tempfile so failures surface in the log instead of being silently swallowed by `2>/dev/null`.
-4. On final failure, print the manual recovery commands directly to stderr.
+**Symptom**: Step 7 retries fail because the OLD instance still has `34.26.70.60` bound during its graceful-termination window (~30-60s).
 
-**Manual recovery if step 7 still fails**:
-```bash
-INSTANCE=$(gcloud compute instances list --filter="name~super-legal-staging" --format="value(name)" | head -1)
-gcloud compute instances delete-access-config $INSTANCE --zone=us-east1-c --access-config-name=external-nat --quiet
-sleep 10
-gcloud compute instances add-access-config $INSTANCE --zone=us-east1-c --access-config-name=external-nat --address=34.26.70.60 --quiet
-gcloud compute ssh $INSTANCE --zone=us-east1-c --command='docker restart $(docker ps -q | head -1)'
-```
+**Fix in deploy.sh** (applied 2026-04-28, widened 2026-05-16):
+1. Pre-flight: poll `gcloud compute addresses list --filter="address=$STATIC_IP"` until status is `RESERVED` (not `IN_USE`). **12 × 15s = 180s window** (was 9 × 10s = 90s).
+2. Per-retry: 15s sleep between `delete-access-config` and `add-access-config` (was 5s — matches the duration that consistently works in manual recovery).
+3. Captured stderr to a tempfile so failures surface in the log.
 
-### Variant: MIG instance replacement mid-retries
+#### Pattern B — MIG rolls the instance mid-retry-loop
 
-**Observed on**: 2026-05-06 v7.0.1 deploy.
+**Observed on**: 2026-05-06 v7.0.1, then THREE consecutive deploys 2026-05-12 / 2026-05-15 / 2026-05-16.
 
-**Symptom**: Step 7 retries 5x with `Could not fetch resource: super-legal-staging-XXXX` even though the script logs `IP is RESERVED` and proceeds to `Attempt 1/5: Assigning ...`. The log line keeps showing the SAME instance name across all 5 attempts. Meanwhile, `gcloud compute instances list` reveals a DIFFERENT instance name is actually running.
+**Symptom**: Script logs `IP is RESERVED` then `Attempt 1/N: Assigning <name>` — but the log keeps targeting the SAME `<name>` across all retries while `gcloud compute instances list` shows a DIFFERENT running instance. Every `add-access-config` returns `Could not fetch resource: <stale-name>`.
 
-**Root cause**: The MIG terminated the instance the script was targeting (e.g., `super-legal-staging-0239`) and rolled forward to a new one (e.g., `super-legal-staging-bzx4`) DURING step 7's retry budget. The script captured the original instance name in step 6 and did not re-resolve it on each retry. Every `add-access-config` call hits a deleted resource.
+**Root cause**: MIG terminated the instance the script captured in Step 6 and rolled to a new one DURING Step 7's retry budget. The script's `$INSTANCE` variable was stale.
 
-**Detection between retries**:
-```bash
-gcloud compute instances list --filter='name~super-legal-staging AND status=RUNNING' --format='value(name)'
-```
-If this returns a different instance name than what the script's log shows, the variant has triggered.
+**Fix in deploy.sh** (applied 2026-05-16):
+1. **Re-resolve `$INSTANCE` on EVERY retry iteration** via a `resolve_current_instance()` helper that queries `gcloud compute instances list --filter='name~super-legal-staging AND status=RUNNING'`. The script now re-targets and logs `MIG rolled: <old> → <new> — re-targeting` whenever the name changes between iterations.
+2. **On "Could not fetch resource" errors specifically**, sleep 10s (not 30s) before re-resolving — fast recovery on the most common transient.
+3. **Bumped retries 5 → 8** with re-resolution on each, expanding the wall budget from 150s to ~330s (with 180s pre-flight). Total step 7 budget: ~510s (~8.5 min).
+4. **Updated manual recovery commands** in the failure message to re-resolve `INSTANCE` first (was using whatever the script had cached).
+
+#### Manual recovery if Step 7 still exhausts both budgets
 
-**Manual recovery on the new instance**:
 ```bash
-NEW_INSTANCE=$(gcloud compute instances list --filter='name~super-legal-staging AND status=RUNNING' --format='value(name)' | head -1)
-gcloud compute instances delete-access-config $NEW_INSTANCE --zone=us-east1-c --access-config-name=external-nat --quiet
-sleep 10
-gcloud compute instances add-access-config $NEW_INSTANCE --zone=us-east1-c --access-config-name=external-nat --address=34.26.70.60 --quiet
-sed -i '' '/compute\./d' ~/.ssh/google_compute_known_hosts
-gcloud compute ssh $NEW_INSTANCE --zone=us-east1-c --command='docker restart $(docker ps -q | head -1)'
+INSTANCE=$(gcloud compute instances list --filter='name~super-legal-staging AND status=RUNNING' --format='value(name)' | head -1)
+gcloud compute instances delete-access-config $INSTANCE --zone=us-east1-c --access-config-name=external-nat --quiet
+sleep 15
+gcloud compute instances add-access-config $INSTANCE --zone=us-east1-c --access-config-name=external-nat --address=34.26.70.60 --quiet
+sed -i '' '/compute\./d' ~/.ssh/google_compute_known_hosts  # if SSH balks at host-key change
+gcloud compute ssh $INSTANCE --zone=us-east1-c --command='docker restart $(docker ps -q | head -1)'
 ```
 
-Wait 60s, then verify via `curl http://34.26.70.60:3001/health`.
+Wait 60s, then verify via `curl http://34.26.70.60:3001/health | jq '.dependencies.database'`. `status: "ok"` confirms the static-IP + Cloud-SQL-whitelist path is working again.
 
 **Future deploy.sh hardening** (not yet implemented): Step 7's retry loop should re-resolve the instance name on each attempt:
 ```bash
diff --git a/.claude/skills/deploy/scripts/deploy.sh b/.claude/skills/deploy/scripts/deploy.sh
index 9efdc4850..7a88e38bc 100755
--- a/.claude/skills/deploy/scripts/deploy.sh
+++ b/.claude/skills/deploy/scripts/deploy.sh
@@ -142,22 +142,31 @@ log "Ensuring firewall tags on $INSTANCE..."
 gcloud compute instances add-tags "$INSTANCE" --zone="$INSTANCE_ZONE" --tags=super-legal-mcp 2>/dev/null || true
 
 # ── Step 7: Assign static IP ────────────────────────────────────────────
-# The recurring failure mode (observed v6.7.0 + v6.8.0): MIG terminates the
-# OLD instance and creates the new one in parallel; the OLD instance still
-# holds 34.26.70.60 for ~30-60s during graceful termination. Trying to assign
-# the static IP to the NEW instance during that window fails with errors
-# silently swallowed by 2>/dev/null. Three fixes applied:
-#   1) Pre-flight: poll until the address resource shows status=RESERVED
-#      (or no users), proving the previous instance has fully released it.
-#   2) Bumped retries 3→5 with 30s waits (total window 150s vs old 45s).
-#   3) Captured stderr to a file so failure messages surface in the log.
+# Two recurring failure modes (Apr–May 2026):
+#   A) Race (v6.7.0, v6.8.0): MIG terminates OLD instance + creates NEW one
+#      in parallel; OLD still holds 34.26.70.60 for ~30-60s during graceful
+#      termination. add-access-config to NEW conflicts.
+#   B) Stale INSTANCE handle (v7.0.1, 2026-05-12, 2026-05-15, 2026-05-16):
+#      MIG rolls the instance AGAIN during retry budget. Script captured
+#      $INSTANCE in step 6; every retry hammers a dead resource and gets
+#      "Could not fetch resource: <stale-name>". Hit 3× in a row May 2026.
+#
+# Fixes applied (2026-05-16 — closes pattern B):
+#   1) Pre-flight: 12 × 15s = 180s waiting for status=RESERVED (was 90s).
+#   2) Re-resolve $INSTANCE from MIG on EVERY retry iteration (the manual
+#      recovery does this implicitly; the script did not).
+#   3) Bumped retries 5 → 8, sleep 5 → 15 between delete+add (matches the
+#      sleep duration that consistently works in manual recovery).
+#   4) On "Could not fetch resource" specifically, log it as a roll-event
+#      and re-resolve before next retry without waiting the full 30s.
+#   5) Captured stderr to a file so failure messages surface in the log.
 step "Step 7: Assign static IP ($STATIC_IP)"
 
 # Pre-flight: wait for the static address to be released by the old instance.
-# Up to 90s window — covers GCE graceful-termination latency.
+# Up to 180s window — covers GCE graceful-termination latency + 2nd MIG roll.
 log "Pre-flight: waiting for $STATIC_IP to be released by previous instance..."
 RELEASED=false
-for wait_attempt in 1 2 3 4 5 6 7 8 9; do
+for wait_attempt in 1 2 3 4 5 6 7 8 9 10 11 12; do
   ADDR_STATUS=$(gcloud compute addresses list \
     --filter="address=$STATIC_IP" \
     --format="value(status,users)" 2>/dev/null | head -1)
@@ -167,42 +176,72 @@ for wait_attempt in 1 2 3 4 5 6 7 8 9; do
     RELEASED=true
     break
   fi
-  log "  attempt $wait_attempt: $ADDR_STATUS"
-  sleep 10
+  log "  attempt $wait_attempt/12: $ADDR_STATUS"
+  sleep 15
 done
 if [ "$RELEASED" = false ]; then
-  warn "Static IP still bound after 90s — proceeding anyway"
+  warn "Static IP still bound after 180s — proceeding anyway"
 fi
 
+# Helper: re-resolve the current running MIG instance name. Returns empty if
+# nothing is RUNNING. Used at every retry to defeat pattern B.
+resolve_current_instance() {
+  gcloud compute instances list \
+    --filter="name~super-legal-staging AND status=RUNNING" \
+    --format="value(name)" 2>/dev/null | head -1
+}
+
 ASSIGNED=false
 ERR_FILE=$(mktemp)
 trap 'rm -f "$ERR_FILE"' EXIT
-for attempt in 1 2 3 4 5; do
-  log "Attempt $attempt/5: Assigning $STATIC_IP to $INSTANCE..."
+for attempt in 1 2 3 4 5 6 7 8; do
+  # Re-resolve INSTANCE on every iteration — protects against MIG rolling
+  # mid-loop (pattern B). $INSTANCE_ZONE assumed stable (single-zone MIG).
+  CURRENT_INSTANCE=$(resolve_current_instance)
+  if [ -z "$CURRENT_INSTANCE" ]; then
+    warn "  attempt $attempt/8: no RUNNING instance found — MIG may be rolling, waiting 20s"
+    sleep 20
+    continue
+  fi
+  if [ "$CURRENT_INSTANCE" != "$INSTANCE" ]; then
+    log "  MIG rolled: $INSTANCE → $CURRENT_INSTANCE — re-targeting"
+    INSTANCE="$CURRENT_INSTANCE"
+  fi
+  log "Attempt $attempt/8: Assigning $STATIC_IP to $INSTANCE..."
   # Remove existing access config if present (try lowercase first, fallback uppercase)
   gcloud compute instances delete-access-config "$INSTANCE" --zone="$INSTANCE_ZONE" \
     --access-config-name="external-nat" --quiet 2>/dev/null || \
   gcloud compute instances delete-access-config "$INSTANCE" --zone="$INSTANCE_ZONE" \
     --access-config-name="External NAT" --quiet 2>/dev/null || true
-  sleep 5  # let the delete propagate before re-adding
+  sleep 15  # let the delete propagate; 5s was too short, 10–15s consistently works
   if gcloud compute instances add-access-config "$INSTANCE" --zone="$INSTANCE_ZONE" \
     --access-config-name="external-nat" --address="$STATIC_IP" 2>"$ERR_FILE"; then
     log "Static IP assigned successfully"
     ASSIGNED=true
     break
   fi
-  warn "  failure: $(head -1 "$ERR_FILE")"
-  warn "  retrying in 30s..."
-  sleep 30
+  ERR_MSG=$(head -1 "$ERR_FILE")
+  warn "  failure: $ERR_MSG"
+  # Pattern B detection: "Could not fetch resource" usually means $INSTANCE
+  # was deleted by MIG mid-call. Re-resolve on the next iteration immediately
+  # rather than waiting the full 30s.
+  if echo "$ERR_MSG" | grep -q "Could not fetch resource"; then
+    warn "  → likely MIG rolled the instance; re-resolving in 10s"
+    sleep 10
+  else
+    warn "  retrying in 30s..."
+    sleep 30
+  fi
 done
 
 if [ "$ASSIGNED" = false ]; then
-  err "Failed to assign static IP after 5 attempts (total wait: 150s + 90s pre-flight)"
-  warn "Manual recovery — run these commands:"
-  warn "  gcloud compute instances delete-access-config $INSTANCE --zone=$INSTANCE_ZONE --access-config-name=external-nat --quiet"
-  warn "  sleep 10"
-  warn "  gcloud compute instances add-access-config $INSTANCE --zone=$INSTANCE_ZONE --access-config-name=external-nat --address=$STATIC_IP --quiet"
-  warn "  gcloud compute ssh $INSTANCE --zone=$INSTANCE_ZONE --command='docker restart \$(docker ps -q | head -1)'"
+  err "Failed to assign static IP after 8 attempts (~330s total: 180s pre-flight + 8 retries)"
+  warn "Manual recovery — run these commands (re-resolve INSTANCE first):"
+  warn "  INSTANCE=\$(gcloud compute instances list --filter='name~super-legal-staging AND status=RUNNING' --format='value(name)' | head -1)"
+  warn "  gcloud compute instances delete-access-config \$INSTANCE --zone=$INSTANCE_ZONE --access-config-name=external-nat --quiet"
+  warn "  sleep 15"
+  warn "  gcloud compute instances add-access-config \$INSTANCE --zone=$INSTANCE_ZONE --access-config-name=external-nat --address=$STATIC_IP --quiet"
+  warn "  gcloud compute ssh \$INSTANCE --zone=$INSTANCE_ZONE --command='docker restart \$(docker ps -q | head -1)'"
   FINAL_IP=$(gcloud compute instances describe "$INSTANCE" --zone="$INSTANCE_ZONE" \
     --format="value(networkInterfaces[0].accessConfigs[0].natIP)" 2>/dev/null)
   warn "Using ephemeral IP: $FINAL_IP"
diff --git a/super-legal-mcp-refactored/docs/pending-updates/excel-workbook-issues.md b/super-legal-mcp-refactored/docs/pending-updates/excel-workbook-issues.md
new file mode 100644
index 000000000..ae598a435
--- /dev/null
+++ b/super-legal-mcp-refactored/docs/pending-updates/excel-workbook-issues.md
@@ -0,0 +1,251 @@
+# Excel Workbook Architecture Issues — Forward Plan
+
+**Status**: PENDING REVIEW — pre-implementation spec
+**Author note (2026-05-16)**: surfaced via candid architectural review after PRs #134-#143 shipped the LLM-driven xlsx renderer + supporting infrastructure
+**Related GitHub issue**: (to be filed alongside this doc)
+**Risk if ignored**: ~$120K/year ongoing cost for a workflow that may not warrant LLM-driven generation
+
+---
+
+## §1 — Context
+
+Over PRs #134-#143 (Avenue B Phase 1 → operator-runbook readiness → `xlsx-workbook-template-creator` skill → skill content gaps), we shipped:
+
+- LLM-driven xlsx renderer that invokes `runPythonAnalysis` to generate openpyxl Python per render
+- Avenue A v2 envelope schema enforcement (`ENVELOPE_SCHEMA_XLSX`, Option A audit-only pivot)
+- Multi-turn phase orchestrator (`multiTurnOrchestrator.js`) with phase fan-out via `pLimit(5)`
+- `selectEnvelopeWithFallback` extraction logic (parsed_output → text → stdout → merge)
+- Generic envelope-outcome Prometheus counter + 6 alerts
+- Cloud Logging structured `envelope_decision` event
+- OTel span attributes for `envelope_source` + `caller_category`
+- `xlsx_renders` table state machine + dual-path schema
+- `access_log.event_data` JSONB enrichment + `code_executions.envelope_source` column
+- `xlsx-workbook-template-creator` skill (scaffolder + validator + 7 reference docs)
+- Canonical templates README + prompts README (~750 LOC)
+- Operator runbook (alerts + cohort plan + debug playbook)
+- Feature flag truth doc registration (#41 XLSX_RENDERER + #42 STRUCTURED_OUTPUT_ENFORCEMENT)
+
+**Critical**: `XLSX_RENDERER` flag is still `false` in production. No xlsx renders are currently happening for any client.
+
+## §2 — Issue summary
+
+The xlsx renderer pays approximately **$5-10 per render** to have the LLM regenerate openpyxl Python that maps already-computed subagent data into already-declared template layouts. At expected production scale (~50 renders/day × $7 average × 365 days), this is **~$120K/year of ongoing cost**.
+
+**The redundancy**:
+
+1. Subagents (`financial-analyst`, `tax-structure-analyst`, etc.) run analyses via `run_python_analysis` during orchestration. The Python computes (e.g.) DCF, comps, LBO returns. Results persist to `code_executions` rows.
+2. After orchestration finishes, the xlsx renderer invokes `run_python_analysis` **a second time** for each phase. The model writes openpyxl Python that:
+   - Reads the data the first execution already computed (now persisted as JSON in `code_executions.data`)
+   - Maps that data into Excel cells with formulas + formatting
+   - Applies cell coloring discipline + Sources sheet entries
+   - Emits b64-encoded xlsx file + audit envelope
+
+The analysis is already done. The model is being asked to translate **declarative template specs** (which layout, which formula style, which cell colors, which audit rules — ALL specified in the template config) into **imperative Python** that implements those specs. The audit checks then verify the model matched what was declared.
+
+**The model is paid to do work the template declaration already did.**
+
+## §3 — What the model genuinely adds vs what's redundant
+
+| Workbook content | LLM-required? | Could be deterministic Python? |
+|---|---|---|
+| Cover narrative prose | ✅ Yes (deal-specific text synthesis) | ❌ Templated prose would be generic |
+| Executive summary text | ✅ Yes (cross-subagent synthesis) | ⚠️ Partially templated |
+| Assumptions table (5-col) | ❌ No | ✅ Trivial openpyxl |
+| 3-statement model | ❌ No | ✅ Data + formula templates |
+| DCF tab | ❌ No | ✅ Standard NPV/IRR formulas |
+| Comps table | ❌ No | ✅ 7-col data table |
+| LBO sub-sheets | ❌ No | ✅ Standard LBO template |
+| Sensitivity 2D heatmap | ❌ No | ✅ Programmatic from sensitivity data |
+| Sources index | ❌ No | ✅ Deterministic from citations |
+| Model index (session-models) | ❌ No | ✅ Programmatic from `code_executions` |
+| Risk register | ⚠️ Maybe (narrative descriptions) | ⚠️ Mostly programmatic + short descriptions |
+| Cell coloring discipline | ❌ No | ✅ Programmatic rules |
+| Audit checks (formula whitelist, balance, sources) | ❌ No | ✅ Better deterministic than LLM self-attestation |
+
+**~80-90% of per-render compute is mechanical data formatting** that does not require LLM. Only narrative content (cover, exec_summary, possibly risk register descriptions) genuinely requires LLM.
+
+## §4 — Root cause analysis
+
+This architecture appears to have emerged via path dependency, not design optimization:
+
+1. **Subagents were designed first**. Their bridge integration (`run_python_analysis` for analysis output) shipped before xlsx requirements existed.
+2. **xlsx requirements arrived later**. The bridge was the familiar tool; reaching for it for xlsx generation was the line of least resistance.
+3. **Once LLM-driven, complexity accumulated** to manage the resulting brittleness:
+   - PR #135 Avenue A v2 to enforce envelope shape via Anthropic API (added because envelope corruption was common)
+   - PR #135 Option A pivot to scope `b64_xlsx` to stdout-only (added because MAX_TOKENS cliff broke phase3 LBO at L4 v1)
+   - PR #134 Path B (no cross-phase chaining) to enable parallel phases
+   - PR #138 observability v2 to make envelope failures debuggable
+   - PR #140 operator runbook + 6 alerts to gate the production flag flip
+4. **Templates evolved to be declarative**. PR #143's templates README catalogs 12 layouts + 3 trigger fields + canonical `XLSX_TEMPLATE_BASE` (PRE_2019_FUNCTIONS, CELL_COLORING, SOURCES_SHEET_SPEC, AUDIT_CHECKS). These declarations describe what the workbook should look like with high specificity.
+5. **The audit checks verify** the model matched declarative specs (no_hardcodes_in_formulas, sources_sheet_complete, named_ranges_resolve, balance_check). The audit's existence implies the spec already describes the truth.
+
+If templates were highly variable (one-off per client, unpredictable layouts), LLM-driven generation would justify the cost. But our 5 production templates use the same 12 layouts repeatedly. **Variability is low; the LLM flexibility tax is paying for unused flexibility.**
+
+## §5 — Proposed solution: subagent-emitted workbook fragments + deterministic merger
+
+### Architecture change
+
+Replace the LLM-driven xlsx renderer with a **single module** where:
+
+1. Each subagent's `run_python_analysis` invocation **also emits a workbook fragment** alongside analysis + charts. The Python that computes the DCF (using data already in memory) also writes the DCF tab. Marginal cost: ~$0.05 per subagent call (incremental Python execution, no new bridge call).
+
+2. **Post-orchestration merger** (deterministic Node code, no LLM):
+   - Reads `code_executions` rows for the session
+   - Collects each row's `workbook_fragment_b64` (new field on envelope or stored in existing `data` JSONB)
+   - Merges fragments into a single workbook using openpyxl
+   - Applies unified Sources sheet (all citations from all subagents)
+   - Validates audit checks programmatically (formula whitelist, balance, sources)
+   - Persists to `xlsx_renders`
+
+3. **ONE bridge call** for cover + exec_summary narrative prose (cross-session synthesis that genuinely requires LLM). Cost: ~$0.10-0.30.
+
+### Cost-benefit
+
+| Metric | Current (LLM-driven) | Proposed (unified) | Reduction |
+|---|---|---|---|
+| Bridge calls per session | ~10-15 (N subagent + 5 render phases) | ~N subagent + 0-1 narrative | ~70% |
+| Cost per render | $5-10 | $0.30-0.50 | **~95%** |
+| Wall-clock per render | 4-5 min (parallel phases) | seconds (deterministic) | **~95%** |
+| Annual cost at scale | ~$120K | ~$5-10K | **~95%** |
+| Maintenance LOC | 9 PRs of supporting infra | merger + 1 prose prompt | substantial |
+| Failure modes | max_tokens cliffs, envelope corruption, retry budgets, audit divergence | per-subagent (already handled by Agent SDK) | fewer |
+
+### What this RETIRES (no longer needed)
+
+- Avenue A v2 envelope enforcement (PR #135) — no envelope schema needed for deterministic generator
+- `ENVELOPE_SCHEMA_XLSX` + Option A merge logic (PR #135) — not needed
+- `selectEnvelopeWithFallback` xlsx branches (PR #138) — not needed
+- `STRUCTURED_OUTPUT_ENFORCEMENT` flag (#42) — not needed
+- 6 Prometheus alerts on envelope counters (PR #140) — not needed
+- `envelope-decision-debug-playbook.md` (PR #140) — not needed
+- `structured-output-enforcement-rollout.md` cohort plan (PR #140) — not needed
+- `multiTurnOrchestrator.js` phase fan-out (PR #134) — replaced by simple per-row collection
+- Most of `xlsx-workbook-template-creator` skill (PRs #142, #143) — much simpler: scaffold merge spec + narrative prompt
+
+### What this PRESERVES (still valuable)
+
+- Post-orchestration trigger architecture (re-invocability, failure isolation, manual API)
+- `selectTemplate(sessionContext)` dispatch (template selection by triggers)
+- `xlsx_renders` table state machine + dual-path schema
+- Generic `claude_code_bridge_envelope_outcome_total` Prometheus counter (still emitted by subagent bridge calls — different `caller_category`)
+- `envelope_source` column on `code_executions` (still useful for subagent invocations)
+- `access_log.event_data` JSONB enrichment (still useful for forensic queries)
+- Structured `envelope_decision` Cloud Logging events (still useful)
+- Truth doc registration (XLSX_RENDERER #41 stays; STRUCTURED_OUTPUT_ENFORCEMENT #42 is retired)
+- Operator skill enhancements (post-deploy-verify V7 check, infrastructure-health postgresql.md, etc.)
+- Compliance audit trail (Art. 12/13/14)
+
+## §6 — Migration plan (4 phases)
+
+### Phase 0: Decision + risk assessment
+
+- Review this spec
+- File companion GitHub issue (roadmap)
+- Architecture lead decision: redesign vs proceed?
+- If proceed-as-is: at minimum, do NOT flip `XLSX_RENDERER=true` in production until economics validated against real data
+- If redesign: assign Phase 1 owner + 2-week timeline
+
+### Phase 1: Prototype unified module (one template)
+
+- Pick simplest template (`session-models` fallback) as proof of concept
+- Augment `financial-analyst` subagent prompt to emit `workbook_fragment_b64` (alongside `analysis`/`data`/`charts`)
+- Build deterministic Node merger for `session-models` layout (single auto-per-model tab + sources)
+- Validate: side-by-side comparison vs current LLM-generated workbook for 5 sample sessions
+- Measure: actual cost, actual wall-clock, audit pass rate
+
+### Phase 2: Migrate per template (4 production templates remaining)
+
+Once prototype validated:
+- Migrate one template at a time: `valuation-only` → `tax-memo-workbook` → `full-deal-workbook` → `lbo-focused`
+- Per-template feature flag for dispatcher (`UNIFIED_XLSX_<template_id>=true`)
+- Side-by-side comparison: render same session both ways, compare workbook quality
+- Switch dispatcher when satisfied; keep LLM path callable via flag override for fallback
+
+### Phase 3: Retire LLM renderer infrastructure
+
+Once all 5 templates migrated to unified design:
+- Delete `multiTurnOrchestrator.js` phase fan-out (or reduce to thin shim)
+- Delete `ENVELOPE_SCHEMA_XLSX` + xlsx-mode merge logic in `selectEnvelopeWithFallback`
+- Remove `STRUCTURED_OUTPUT_ENFORCEMENT` flag from `featureFlags.js`, `flags.env`, truth doc §42
+- Remove 6 envelope-counter alerts from `prometheus/alerts.yml`
+- Archive `envelope-decision-debug-playbook.md` and `structured-output-enforcement-rollout.md` (move to `docs/archive/`)
+- Simplify `xlsx-workbook-template-creator` skill: scaffold becomes merge-spec + narrative-prompt structure
+
+### Phase 4: Re-evaluate operator skills + final cleanup
+
+- Some operator skills still useful (post-deploy-verify V7 check probes the generic counter, which still emits)
+- Some become moot (envelope-decision playbook — archive)
+- Update CHANGELOG + docs to reflect new architecture
+- Final cost validation: 30 days of production data showing ~$5-10K/year actual
+
+## §7 — Open questions (need decisions before Phase 1)
+
+1. **Fragment format**: what's the canonical `workbook_fragment_b64` format?
+   - Option A: base64 of a single-tab openpyxl `.xlsx` file (merger uses `openpyxl.load_workbook` + copy_worksheet)
+   - Option B: JSON spec describing cells, formulas, styles (merger constructs openpyxl from JSON)
+   - Tradeoff: A is simpler for the subagent (just save+encode); B is easier for the merger to recompose into different layouts
+
+2. **Template variability**: do future templates need flexibility a deterministic generator can't provide?
+   - Threshold: if new layouts per quarter > 1, deterministic generator becomes maintenance burden
+   - Current trajectory: ~0 new templates in last 6 months; product team adds new ones rarely
+
+3. **Re-rendering historical sessions with NEW templates**:
+   - Current design: templates can be updated and old sessions re-rendered using same `code_executions` data
+   - Unified design challenge: fragments are baked at session time with old layout assumptions
+   - Options: (a) merger supports fragment-to-template remapping (complex); (b) re-rendering requires re-running orchestration (expensive — defeats one of the benefits we kept)
+   - Need to decide before Phase 1 whether re-rendering capability is non-negotiable
+
+4. **Subagent prompt bloat**: each subagent prompt gets longer with fragment-emission instructions
+   - Token budget impact: ~500-1000 tokens per subagent system prompt
+   - Cache-able (prompt prefix doesn't vary per session)
+
+5. **Cover + exec_summary cross-session synthesis**: ONE bridge call needs ALL subagent outputs as context
+   - Prompt construction: how do we serialize N subagent outputs into one prompt without exceeding context?
+   - Options: (a) summarize each subagent output to <1KB; (b) selective context based on template needs
+
+6. **XLSX_RENDERER flag flip decision**: should we proceed with the current LLM-driven production rollout per PR #140 runbook?
+   - If we expect to migrate to unified design: flipping the LLM version to production wastes operator effort + accumulates cost
+   - If migration is uncertain: flipping is the safe bet (preserves operator path)
+   - Recommendation pending architecture review decision
+
+## §8 — Honest framing
+
+This plan was written following a candid architectural discussion on 2026-05-16 in which the original implementation author admitted, through several rounds of correction by the reviewer, that:
+
+1. The "latency" arguments for the current design (post-orchestration vs in-orchestration) were overstated — 4-5 min wall-clock gap is noise on a 4-6 hour pipeline
+2. The "failure isolation" argument is real but solvable in either design
+3. The CORE redundancy (LLM regenerating Python to format already-computed data) was not articulated in any of the 9 PRs that shipped this design
+4. The 9-PR chain (#134-#143) built reliability infrastructure around a workflow whose foundational architectural choice may not have warranted the LLM in the first place for ~80-90% of its work
+
+**This is NOT a critique of the engineering work in PRs #134-#143.** Each PR was well-executed for its stated scope. Avenue A v2 envelope enforcement, observability v2, operator runbook, skill scaffolding, and content gap closure all delivered their stated goals.
+
+**This IS an architectural review**: the right level of abstraction may not have been chosen at design time. We built Bridge Engineering Excellence (observability, alerts, runbooks, skills) around an LLM-driven workflow that maybe should have been deterministic Python with a single narrative LLM call.
+
+The work shipped is not wasted — most of the observability infrastructure remains useful for ANY bridge invocation pattern. But the LLM-driven xlsx generation specifically may warrant replacement before scaling cost commits us to $120K/year of ongoing LLM compute for what's largely mechanical work.
+
+## §9 — Related PRs (the chain that may need to be partially unwound)
+
+| PR | Scope | Status | Impact under unified design |
+|---|---|---|---|
+| #134 | Avenue B Phase 1 sensitivity isolation | MERGED | Retired (no phase fan-out needed) |
+| #135 | Avenue A v2 structured output enforcement | MERGED | Retired (no envelope schema needed) |
+| #136 | Per-template + per-phase counter | MERGED | Retired (no per-phase concept) |
+| #137 | Skills posture docs | MERGED | Preserved (architectural posture still valid) |
+| #138 | Bridge observability v2 | MERGED | Preserved (still useful for subagent calls) |
+| #139 | PR #138 real-bug followup | MERGED | Preserved |
+| #140 | Operator runbook readiness | MERGED | Partially retired (envelope alerts + playbook archive) |
+| #141 | Skill doc companion | MERGED | Preserved (mostly) |
+| #142 | xlsx-workbook-template-creator skill | MERGED | Substantially simplified |
+| #143 | Skill content gaps + canonical READMEs | MERGED | Templates README preserved; skill simplified |
+
+## §10 — Recommended next steps
+
+1. **Read this spec + GitHub issue** (companion to this doc)
+2. **Architecture review meeting** to decide: redesign or proceed?
+3. **DO NOT flip `XLSX_RENDERER=true` in production** until decision is made — currently no production sessions render workbooks, so cost is $0; flipping commits to ~$120K/year baseline that this spec proposes to avoid
+4. **If redesign approved**: Phase 0 → Phase 4 per §6, estimated 6-8 week implementation
+5. **If proceed-as-is approved**: at minimum document why the cost was accepted; consider gradual rollout to validate cost projections
+
+---
+
+**End of spec.** Companion GitHub issue tracks the roadmap of concerns + decision points.
diff --git a/super-legal-mcp-refactored/package-lock.json b/super-legal-mcp-refactored/package-lock.json
index d9e77d438..f3cb8a1cf 100644
--- a/super-legal-mcp-refactored/package-lock.json
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@@ -27,11 +27,13 @@
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+          "url": "https://github.com/sponsors/feross"
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