Inbox-Listener Wiring

Empirica's loop-cron skill wires periodic background work into the registry. This skill does the same for event-driven background work: held HTTP stream (ntfy), Monitor wake on event, listener stays armed.

Canonical flow: three single-purpose verbs (on/arm/off) that emit structured next_step JSON. The AI chains 3 mechanical tool calls per direction; the CLI handles defaults, persistent-service detection, and state-file management.

When to Use

• User asks to "arm the listener" or "subscribe to ntfy"
• A system-reminder from listener-install-pickup lands in your conversation
• SessionStart hook (session-monitor-arm.py) emits Monitor-arming

instructions in additionalContext (it now delegates to empirica listener on, so the output is consistent with what this skill teaches)

If you're scheduling periodic work (cron-mode loop), use /loop-cron instead. This skill is for "wake when something arrives."

Canonical 3-step arm flow

Three tool calls. CLI handles the rest.

1. empirica listener on --output json

Auto-resolves: --ai-id from .empirica/project.yaml (or pass explicitly), --name defaults to <ai_id>-inbox, topic is queried per-tenant from cortex's GET /v1/users/me/notification-channels registry (returns <org>-orchestration-events-<tenant> for the calling tenant — post-T16/T17 isolation). The bare orchestration-events topic is RETIRED — cortex collapsed publish to per-tenant only and no longer fans out the bare fallback. Any listener still pinned to the bare topic receives zero traffic and must restart to pick up the per-tenant resolution from the channels endpoint.

Two possible response shapes:

(a) Persistent OS service already running — arm a LOG TAIL, not a second listener:

{
  "ok": true,
  "status": "persistent_service_tail_session",
  "next_step": {
    "tool": "Monitor",
    "args": {
      "description": "Cortex orchestration log tail for <id> (persistent-service mode)",
      "command": "tail -F -n 0 ~/.empirica/loop_fires.log 2>/dev/null | grep -E --line-buffered '\"instance_id\": \"<id>\"'",
      "timeout_ms": 1800000
    },
    "after_arm": "empirica listener arm <monitor_task_id> --name <id>-inbox"
  }
}

The systemd-user / launchd service holds the ntfy stream and writes every event to ~/.empirica/loop_fires.log, but it cannot push into your session — the tail is what delivers. Without it the events reach disk and you never see them.

(b) No persistent service — arm in-session:

{
  "ok": true,
  "ai_id": "<id>",
  "name": "<id>-inbox",
  "status": "awaiting_arm",
  "next_step": {
    "tool": "Monitor",
    "args": {
      "description": "Cortex orchestration push listener for <id>",
      "command": "empirica loop listen --instance <id>",
      "timeout_ms": 1800000
    },
    "after_arm": "empirica listener arm <monitor_task_id> --name <id>-inbox"
  }
}

Monitors expire — re-arming is the contract

Claude Code 2.1.271 replaced the no-timeout persistent option with a deadline: every Monitor watch ends after at most 30 minutes (10 in -p runs) and you are notified. Re-arm it — same Monitor call, then empirica listener arm again with the new task id. Passing persistent: true is accepted and silently ignored on current builds, and omitting it is accepted on older ones, so the call above is valid everywhere. The tail starts at the end of the log, so events written while no Monitor was running are not delivered to the session. After every (re)arm, run empirica mailbox poll — the one check that does not depend on the stream.

2. Arm Monitor with the emitted args

Monitor is a deferred tool on current Claude Code: it is named in the deferred-tools list but has no schema until loaded, so calling it cold fails and it does not appear in your tool list. Load it first; where it is already loaded the load is a no-op.

ToolSearch(query="select:Monitor,TaskStop")
result = Monitor(
    description="Cortex orchestration push listener for <id>",
    command="empirica loop listen --instance <id>",
    timeout_ms=1800000,
)
# capture result.task_id for step 3

3. empirica listener arm <monitor_task_id>

Replaces the monitor_task_id: null placeholder in listener_active_<instance>_<name>.json with the real id. Now off knows what to TaskStop later.

Canonical 3-step off flow

1. empirica listener off --output json

Reads the state file, emits:

{
  "ok": true,
  "monitor_task_id": "tk_xxx",
  "next_step": {
    "tool": "TaskStop",
    "args": {"task_id": "tk_xxx"},
    "after_stop": "empirica listener unregister <name>"
  }
}

2. TaskStop(task_id)

Disarms the Monitor.

3. empirica listener unregister <name>

Clears the registry entry + sidecar state files. Listener is fully off.

Reaction protocol — what happens when events arrive

Once armed (or with persistent service running), each ECO-decided proposal event arrives as one <task-notification> JSON line into your chat. The reaction protocol is owned by /cortex-mailbox-poll (load that skill before your first transaction if you're a session that receives mesh events — session-monitor-arm.py reminds you in its additionalContext).

Architecture (concise)

external publisher (Cortex)
        │ HTTP POST with X-Tags including the target ai_id
        ▼
   ntfy server (per-tenant topic, e.g.
   <org>-orchestration-events-<tenant>;
   resolved from /v1/users/me/notification-channels)
        │ held HTTP stream
        ▼
   ┌──────────────────────────────────────────────────┐
   │ EITHER:                                          │
   │   (a) persistent OS service holds the stream     │
   │       (empirica-listener-<ai_id>.service /       │
   │        com.empirica.listener.<ai_id>.plist)      │
   │   OR:                                            │
   │   (b) in-session `empirica loop listen` subprocess│
   │       held via Monitor, re-armed every 30 min     │
   └──────────────────────────────────────────────────┘
        │ emits one JSON line per ECO-decided proposal event
        ▼
   <task-notification> wakes the running Claude
        │
        ▼
   /cortex-mailbox-poll reaction protocol acts on the event

Idle cost: zero. The held stream consumes no Claude tokens until a real event arrives.

Wake latency: sub-second from publish to wake handler (network round-trip + Monitor poll cycle).

Delivery model

The mailbox is the source of truth; push is liveness only. This listener delivers one wake per genuinely-new actionable item. It is not a retry engine, not an acknowledgement engine, and nothing here guarantees delivery — a dropped wake is reconciled on the next poll, and a message to an empty practice simply waits.

The consequence that matters when arming this: never act irreversibly on a push alone. Reconcile against the durable proposal state.

Full model — send-side refire duty, why the reminder/escalation chain was retired, and the autonomy sweep that catches the tail: /cortex-mailbox-poll, which owns it. This section carried a 250-word restatement of that page; it now carries the steer you need before you would know to load it.

SessionStart hook integration

The plugin's session-monitor-arm.py hook delegates to empirica listener on --output json and renders the JSON response as markdown in additionalContext. So:

• Fresh SessionStart with persistent service running → hook emits the

LOG-TAIL Monitor block. Arm it + run empirica listener arm <task_id>.

• Fresh SessionStart without persistent service → hook emits the

Monitor-arming block. You arm the Monitor + run empirica listener arm <task_id>.

Either way, the source of truth for what to do is empirica listener on. The hook is just the automation surface.

Legacy: per-listener custom topics (curl-based)

For listeners on non-canonical topics (e.g. a custom ntfy channel for an external publisher unrelated to the Cortex mesh), the older curl-based pattern remains supported via the 9 power-user verbs (register / pause / resume / record-wake / fire / install-request / list / status / unregister). The Cockpit→Claude install-request flow still queues a pending install via UserPromptSubmit; this skill historically taught the manual curl + Monitor + record-wake protocol for that case.

If you receive a system-reminder from listener-install-pickup with a custom topic, follow the embedded prompt template — it carries the specifics (NAME, TOPIC, ON_WAKE, INSTANCE) needed to construct the curl + Monitor pair manually. For the canonical mesh topic, prefer empirica listener on instead.

State files

on writes the active file with a placeholder monitor_task_id: null; arm <task_id> replaces the placeholder; off reads it to emit the TaskStop next_step; unregister deletes it.

Related

• /cortex-mailbox-poll — the receive-side reaction protocol for

events arriving via the listener.

• /cortex-mailbox-send — the send-side primitive for emitting your

own proposals.

• empirica/core/loop_scheduler/persistent_listener.py — the

systemd-user / launchd persistent service shipped in 7eac3c838.

• empirica/cli/command_handlers/cockpit_commands.py —

handle_listener_on/arm/off_command (handle_listener_on_command, handle_listener_arm_command, handle_listener_off_command), the canonical CLI handlers this skill teaches.