feat(moments): mounted rules arrive when their moment happens, through every door (milestone 458 step 4a, #4922)

A rule mounted on a moment now reaches the session when an act reaches
that moment, with no semantic match involved:

- run_moment_arm on the pipeline: a lookup, not a ranked search. Each
  line names the moment and the act that reached it ("at work.deliver,
  reached by `git push`"), so a misfire is visible where it lands and
  can be unmapped in-session. A repeat is cited, not quoted; fresh
  rules are recorded surfaced under source moment_rule with the moment
  in detail. No retrieval_logs row, as for the other lookups, so no
  latency is persisted for this arm.
- rule_scope: a rule's home clause, moved out of semantic_search_rules
  so the moment lookup scopes by the same one.
- rulebooks.rules_on_moments / mounted_moments.
- The plugin door: a catch-all PreToolUse hook (scribe_moment.sh). It
  keeps /moment-tools' answer on disk for five minutes, so a call to a
  tool that cannot reach a mounted rule sends nothing, and an install
  that has mounted nothing sends one request per window. It shares the
  rules ledger with the other arms and fails open silently.
- The MCP door: Scribe's own tools named by the shipped mappings carry
  moment_rules in their response, so a client without the plugin gets
  them too. The hook skips those tools. A guard pins the attach on
  every one.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

src/scribe/mcp/tools/tasks.py

@@ -46,6 +46,7 @@ from scribe.services import trash as trash_svc
 from scribe.services.note_usage import record_pulled
 from scribe.services.record_refs import refuse_guessed_ids
 from scribe.services.text import elide
+from scribe.services.moment_delivery import attach_moment_rules
 
 
 # A work log entry is prose, often long — the discipline asks for what was
@@ -466,7 +467,9 @@ async def update_task(
         if prefs:
             data["reply_preferences"] = prefs
             data["report_back"] = REPORT_BACK_CUE + " " + REPLY_PREFERENCES_CUE
-    return data
+    return await attach_moment_rules(
+        uid, "update_task", {"status": status, "project_id": project_id}, data,
+    )
 
 
 async def add_task_log(task_id: int, content: str) -> dict:
@@ -734,6 +737,7 @@ async def start_planning(
     )
     if isinstance(result, dict):
         result.update(dedup_svc.batch_overlap_response(overlaps))
+        await attach_moment_rules(uid, "start_planning", {"project_id": project_id}, result)
     return result