AI Skill

lark-event

open.feishu.cn

Stream Lark/Feishu events in real-time as NDJSON for bots and event processors.

What is lark-event?

Lark-event enables real-time consumption of Lark/Feishu platform events (messages, reactions, tasks, meetings, etc.) via `lark-cli event consume`. Use it to build event-driven bots, process incoming messages, or subscribe to long-running event streams with bounded or unbounded runs.

  • Stream events as NDJSON from a single EventKey per process
  • Filter and transform events using jq expressions via `--jq`
  • Bounded runs with `--max-events` or `--timeout` for controlled consumption
  • Graceful shutdown via stdin EOF or SIGTERM with ready-marker contract
  • Support for IM messages, reactions, chat changes, tasks, meetings, minutes, and whiteboard updates
  • Concurrent multi-key listening via parallel subprocesses sharing a single bus daemon

How to install lark-event

npx skills add null --skill lark-event
Prerequisites
  • lark-cli binary installed
  • Lark/Feishu authentication configured (see lark-shared SKILL.md)
  • Valid EventKey from `lark-cli event list`
  • Appropriate Lark API scopes for the event type
Claude Code
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How to use lark-event

  1. 1.Run `lark-cli event list --json` to find available EventKeys
  2. 2.Run `lark-cli event schema <EventKey> --json` to inspect the event payload structure and jq_root_path
  3. 3.Optionally write a jq filter expression using the schema fields
  4. 4.Run `lark-cli event consume <EventKey> [--jq '<expr>'] [--max-events N] [--timeout D] --as bot` to start consuming
  5. 5.For parent processes: block on stderr until the ready marker `[event] ready event_key=<key>` appears, then read NDJSON from stdout
  6. 6.For multiple EventKeys, spawn separate `lark-cli event consume` processes in parallel

Use cases

Good for
  • Build a Lark bot that reacts to incoming messages in real-time
  • Process task updates and meeting events for workflow automation
  • Stream filtered events to external systems with timeout-bounded runs
  • Monitor whiteboard or minutes changes and trigger downstream actions
  • Consume one sample event to inspect payload structure before full deployment
Who it's for
  • Lark/Feishu bot developers
  • Event-driven application builders
  • AI agents running as subprocesses
  • Real-time message processing pipelines
  • Workflow automation engineers

lark-event FAQ

What is the ready-marker contract?

`event consume` emits `[event] ready event_key=<key>` on stderr when ready. Parent processes should block on stderr until this line appears before reading stdout. Do not use sleep as a workaround.

How do I listen to multiple EventKeys?

Run one `lark-cli event consume` subprocess per EventKey. All consumers share a single bus daemon via local IPC, so overhead is minimal. This design ensures one shape per process and fault isolation.

What happens if I close stdin on an unbounded run?

For unbounded runs (no `--max-events` or `--timeout`), stdin EOF triggers graceful shutdown. For bounded runs, stdin EOF is ignored and the process exits only via its own limit, timeout, or SIGTERM.

How do I avoid leaking server-side subscriptions?

Use SIGTERM or close stdin instead of `kill -9`. EventKeys with PreConsume hooks register server-side subscriptions; `kill -9` skips the unsubscribe and causes 'subscription already exists' errors on restart.

How do I write a jq filter for an event?

Run `event schema <EventKey> --json` to get `jq_root_path` (where fields start, e.g. '.' or '.event') and `resolved_output_schema.properties` (field names and types). Write your jq expression relative to the root path, e.g., `.chat_id` or `.event.sender_id`. Always check the field's description to see if it is already decoded.

Full instructions (SKILL.md)

Source of truth, from open.feishu.cn.


name: lark-event version: 1.0.0 description: "Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via lark-cli event consume <EventKey> (covers IM messages/reactions/chat changes, Task updates, VC meeting started/joined/ended, Minutes generated, Whiteboard updated, etc.). Use for Lark bots, real-time message processing, long-running subscribers, streaming webhook/push handlers. Supports --max-events / --timeout bounded runs and a stderr ready-marker contract — designed for AI agents running as subprocesses." metadata: requires: bins: ["lark-cli"] cliHelp: "lark-cli event --help"

Lark Events

Prerequisite: Read ../lark-shared/SKILL.md first for authentication, --as user/bot switching, Permission denied handling, and safety rules.

Core commands

CommandPurpose
lark-cli event list [--json]List all subscribable EventKeys
lark-cli event schema <EventKey> [--json]Show an EventKey's params and output schema
lark-cli event consume <EventKey> [flags]Blocking consume; events → stdout NDJSON
lark-cli event status [--json] [--fail-on-orphan]Inspect the local bus daemon status
lark-cli event stop [--all] [--force]Stop the bus daemon

Common flags

FlagDescription
--param key=value / -pBusiness params (repeatable; comma-separated for multi-value). Unknown keys fail with valid names listed inline
--jq <expr>jq expression to filter / transform each event; empty output skips the event
--max-events NExit after N events. Default 0 = unlimited
--timeout DExit after duration D (e.g. 30s, 2m). Default 0 = no timeout. Whichever of --max-events / --timeout fires first wins
--output-dir <dir>Write each event as a file (relative paths only; prevents traversal)
--quietSuppress stderr diagnostics. AI should not use this — it silences the ready marker
--as user|bot|autoIdentity for the session (see lark-shared)

Examples

# Default: stream every event for the key (no filter, no projection)
lark-cli event consume im.message.receive_v1 --as bot

# Grab one sample event to inspect payload shape
lark-cli event consume im.message.receive_v1 --max-events 1 --timeout 30s --as bot

# Run for 10 minutes then auto-exit
lark-cli event consume im.message.receive_v1 --timeout 10m --as bot

# Consume multiple EventKeys concurrently (one shape per process, no dispatcher)
lark-cli event consume im.message.receive_v1          --as bot > receive.ndjson &
lark-cli event consume im.message.reaction.created_v1 --as bot > reaction.ndjson &
wait

Call flow

  1. lark-cli event list --json → pick a legal key
  2. lark-cli event schema <key> --json → read resolved_output_schema + jq_root_path to determine field paths
  3. lark-cli event consume <key> [--jq '<expr>'] → consume

Subprocess contract

Ready marker

event consume's stderr emits a fixed line [event] ready event_key=<key>. Parent processes should block on stderr until this line appears, then start reading stdout. Do not fall back to sleep.

stdin EOF = graceful exit

event consume treats stdin close as a shutdown signal (wired for AI subprocess callers). Bounded runs are exempt: when --max-events or --timeout is set (> 0), stdin EOF is ignored and the run exits only via its own bound, timeout, or SIGTERM. For unbounded runs, < /dev/null / nohup / systemd's default StandardInput=null will cause an immediate graceful exit (stderr reason: signal). To keep an unbounded run alive:

  • Feed stdin a source that never EOFs: < <(tail -f /dev/null)
  • Or run bounded: --max-events N / --timeout D

Exit codes & reason

On exit, the last stderr line is [event] exited — received N event(s) in Xs (reason: ...).

exit codereasonTrigger
0reason: limit--max-events reached
0reason: timeout--timeout reached
0reason: signalCtrl+C / SIGTERM / stdin EOF (stdin EOF applies to unbounded runs only)
1JSON error envelope on stderrLark API business failure during pre-consume setup (for example subscription create/delete)
2JSON error envelope on stderr (no exited line)Validation failure (unknown EventKey, bad --param / --jq, another bus already connected)
3JSON error envelope on stderrAuth failure (missing token, missing scopes)
4 / 5JSON error envelope on stderrNetwork / internal failure (bus startup, handshake, file I/O)

Startup and runtime failures emit a structured JSON envelope on stderr: {"ok":false,"error":{"type","subtype","param","message","hint",...}} (the envelope may also carry top-level identity / _notice siblings). Parse error.type / error.subtype to branch (e.g. missing_scope carries a missing_scopes list), error.param to find the offending flag, and error.hint for the recovery action — do not regex-match message text.

Orchestrators should treat reason: limit/timeout/signal (all exit 0) as "business completion" and non-zero as "failure".

Never kill -9

Avoid kill -9 on consume processes: for EventKeys with a PreConsume hook (those that register server-side subscriptions via OAPI), kill -9 skips the OAPI unsubscribe and leaks server-side subscriptions (symptoms: "subscription already exists" on restart, duplicate event delivery). Prefer SIGTERM or closing stdin.

One consume, one EventKey (multi-key = multi-shell)

The command takes exactly one positional argument; k1,k2 and wildcards are unsupported. Listening to N keys means N subprocesses — this is intentional:

  • One shape per process stdout; no dispatcher logic required in the AI
  • Fault isolation (one key failing doesn't affect others)
  • Independent --as / --jq / --max-events / --timeout per key

All N consumers share a single bus daemon (UDS local IPC), so the overhead is small

Writing jq via schema

event schema <key> --json is the source of truth for writing --jq. Four things to look at:

(1) Where fields start — see jq_root_path

  • Value "." → fields are at the top level, write .chat_id
  • Value ".event" → fields are inside a V2 envelope, write .event.chat_id

(2) Field list and types — see resolved_output_schema.properties.<name>

Each field carries type / description, and some also have format. Snippet (from event schema im.message.receive_v1 --json):

{
  "chat_id":     {"type":"string", "format":"chat_id",      "description":"Chat ID, prefixed with oc_"},
  "sender_id":   {"type":"string", "format":"open_id",      "description":"Sender open_id, prefixed with ou_"},
  "create_time": {"type":"string", "format":"timestamp_ms", "description":"Send time as ms-epoch string"}
}

(3) Field semantics — see the format tag

Lark-defined semantic tags (not JSON Schema's standard format). Common values: open_id / chat_id / message_id / timestamp_ms / email. Purpose: distinguish "same string type, different meanings" fields so you can reverse-lookup via API or convert formats.

(4) Decoded state — read the field's description

event consume runs Process hooks that may pre-decode some payload fields (flattening V2 envelopes, rendering .content to plain text, etc.) — behavior differs from raw OAPI. Always read the field's description before writing jq, especially for generic field names like content / data / body / payload.

Why it matters: blindly applying fromjson to an already-decoded text field makes jq error on every event and silently drop it — the consumer looks alive but emits nothing, with only a single WARN line buried on stderr. (This is the general behavior: any jq runtime error skips the event with a one-line WARN; the loop does not abort.)

Don't shortcut the schema: when projecting event schema --json with jq, do not strip .description from properties — that's the field that tells you whether a field is already decoded. Dump the full property objects, not just keys.


Aside: --param's valid parameters also live in the schema — the params section lists name / type / required / enum / default / description; section missing = this key accepts no --param.

Topic index

TopicReferenceCoverage
IMreferences/lark-event-im.mdCatalog of 12 IM EventKeys + shape notes (flat vs V2 envelope) + im.message.receive_v1 field gotchas (sender_id is open_id only; .content is plain text except for interactive cards) + common jq recipes (filter by chat_type / message_type / sender); for card.action.trigger see also ../lark-im/references/lark-im-card-action-reply.md
Taskreferences/lark-event-task.mdCatalog of 1 Task EventKey (task.task.update_user_access_v2) + Native V2 envelope shape + task commit types + user/bot subscription notes
VCreferences/lark-event-vc.mdCatalog of 4 VC EventKeys (vc.meeting.participant_meeting_started_v1, vc.meeting.participant_meeting_joined_v1, vc.meeting.participant_meeting_ended_v1, vc.note.generated_v1) + field reference + source type semantics (meeting only)
Minutesreferences/lark-event-minutes.mdCatalog of 1 Minutes EventKey (minutes.minute.generated_v1) + field reference + source type semantics (meeting only)
Whiteboardreferences/lark-event-whiteboard.mdCatalog of 1 Board EventKey (board.whiteboard.updated_v1) + per-whiteboard subscription model (requires -p whiteboard_id=<token>) + payload field reference (whiteboard_id / operator_ids triple-id)

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