Feishu Doc Collab

Enable real-time AI collaboration in Feishu (Lark) documents. When a user edits a Feishu doc, the agent automatically detects the change, reads the document, and responds inline — turning any Feishu document into a live human-AI conversation. Features: - Feishu document edit event → triggers isolated agent session automatically - Structured in-doc chat protocol (status flags prevent premature AI responses while user is still typing) - Multi-party support: multiple humans + multiple AI agents in one document - Bitable (spreadsheet) task board integration for collaborative task management - Anti-loop: bot's own edits are automatically ignored Triggers: Feishu doc collaboration, 飞书文档协作, document edit event, in-doc chat, 文档内对话, Lark document AI, feishu doc auto-reply, 飞书文档自动回复

Feishu Document Collaboration Skill

Turn any Feishu document into a real-time human-AI collaboration space.

Overview

This skill patches OpenClaw's Feishu extension to detect document edit events and trigger isolated agent sessions. Combined with a structured in-document chat protocol, it enables:

• ✍️ Write a question in a Feishu doc → AI reads it and appends a reply
• 🚦 Status flags (🔴 editing / 🟢 done) prevent premature responses
• 👥 Multi-party routing: messages can target specific participants
• 📋 Optional Bitable task board for structured task management

Prerequisites

1. OpenClaw with Feishu channel configured (app ID, app secret, event subscriptions)
2. openclaw-lark extension installed (v2026.3+) or built-in feishu extension
3. Feishu app event subscriptions enabled:
   • drive.file.edit_v1 — document edit events
   • drive.file.bitable_record_changed_v1 — (optional) bitable record changes
   • drive.file.read_v1 — (optional, auto-ignored to suppress warnings)
4. Required Feishu app permissions (enable in Open Platform console + user OAuth):
   • space:document:retrieve — read documents
   • docx:document:readonly — read docx content (app-level)
   • base:table:read — read bitable table structure
   • base:record:read — read bitable records
   • base:record:update — update bitable records (for task board)
   • base:field:read — read bitable field definitions
   • drive:drive:readonly — read drive file info
5. Hooks enabled in openclaw.json:

   json

   {
     "hooks": {
       "enabled": true,
       "token": "your-hooks-token-here"
     }
   }
   

Quick Setup

Step 1: Enable hooks in openclaw.json

Add the hooks section if not present:

bash

# Generate a random token
TOKEN=$(openssl rand -hex 16)
echo "Your hooks token: $TOKEN"
# Then add to openclaw.json:
# "hooks": { "enabled": true, "token": "<TOKEN>" }

Step 2: Apply the monitor patch

bash

bash ./skills/feishu-doc-collab/scripts/patch-monitor.sh

This patches the Feishu extension's monitor.js (or monitor.ts for older installs) to:

• Detect drive.file.edit_v1 and bitable_record_changed_v1 events
• Apply 30-second debounce per file to prevent event storms
• Skip bot's own edits (anti-loop)
• Trigger an isolated agent session via /hooks/agent with deliver: false
• Silently ignore drive.file.read_v1 events (suppress warnings)

Step 3: Configure your agent identity

Edit ./skills/feishu-doc-collab/config.json:

json

{
  "agent_name": "MyBot",
  "agent_display_name": "My AI Assistant"
}

The patch script uses this to set up message routing (who the agent responds as).

Step 4: Restart the gateway

bash

openclaw gateway restart

Step 5: Set up the Doc Chat Protocol

Copy the protocol template to your workspace:

bash

cp ./skills/feishu-doc-collab/assets/DOC_PROTOCOL_TEMPLATE.md ./DOC_PROTOCOL.md

Edit DOC_PROTOCOL.md to fill in your participant roster.

How It Works

Document Edit Flow

text

User edits Feishu doc
        ↓
Feishu sends drive.file.edit_v1 event
        ↓
Patched monitor.ts receives event
        ↓
Checks: is this the bot's own edit? → Yes: skip (anti-loop)
        ↓ No
Debounce: same file triggered within 30s? → Yes: skip
        ↓ No
POST /hooks/agent with deliver:false (isolated session)
        ↓
Agent reads DOC_PROTOCOL.md for message format
        ↓
Agent reads the document, finds last message block
        ↓
Checks: status=🟢? addressed to me? not from me?
        ↓ Yes
Agent composes reply and appends to document

In-Document Chat Protocol

Messages in the document follow this format:

markdown

---
> **Sender Name** → **Receiver Name** | 🟢 完成

Your message content here.

Status flags:

• 🔴 编辑中 (editing) — AI will NOT process this message (user is still typing)
• 🟢 完成 (done) — AI will read and respond to this message

Routing:

• → AgentName — addressed to a specific AI agent
• → all — broadcast to all participants

This solves a critical problem: Feishu auto-saves continuously while typing, which would trigger multiple premature AI responses without the status flag mechanism.

Bitable Task Board (Optional)

For structured task management alongside document collaboration:

1. Create a Bitable with these fields:

   • Task Summary (Text)
   • Status (SingleSelect): Unread / Read / In Progress / Done / N/A
   • Created (DateTime)
   • From (SingleSelect): participant names
   • To (MultiSelect): participant names
   • Priority (SingleSelect): Low / Medium / High / Urgent
   • Notes (Text)
   • Related Doc (URL)

2. Configure in config.json:

   json

   {
     "bitable": {
       "app_token": "your_bitable_app_token",
       "table_id": "your_table_id"
     }
   }
   

3. The patch also handles bitable_record_changed_v1 events for task routing.

Re-applying After Updates

⚠️ OpenClaw or extension updates may overwrite monitor.js. After any update:

bash

bash ./skills/feishu-doc-collab/scripts/patch-monitor.sh
openclaw gateway restart

The patch script is idempotent — safe to run multiple times.

Note: For the openclaw-lark extension (compiled .js), no jiti cache clearing is needed. For older built-in .ts installs, also run: rm -f /tmp/jiti/src-monitor.*.cjs

Configuration Reference

config.json

Field	Type	Required	Description
agent_name	string	Yes	Internal name used in protocol routing
agent_display_name	string	Yes	Display name shown in doc replies
bitable.app_token	string	No	Bitable app token for task board
bitable.table_id	string	No	Bitable table ID for task board

Environment

The patch reads from ~/.openclaw/openclaw.json:

• hooks.token — authentication for /hooks/agent endpoint
• gateway.port — gateway port (default: 18789)

Known Issues & Solutions

Event Storm (事件风暴)

Problem: Feishu sends multiple drive.file.edit_v1 and bitable_record_changed_v1 events for a single logical edit. Bitable edits are especially bad — changing one record field can trigger 10-20+ events in rapid succession. Without debounce, each event spawns a separate isolated agent session (using the full model), causing massive token waste.

Real-world impact: A single bitable task edit triggered 15+ Hook sessions consuming 350k+ tokens, all running in parallel and all reaching the same conclusion: "nothing to do".

Solution: 30-second debounce per fileToken (implemented in patch-monitor.sh v2):

• A Map<string, number> tracks the last trigger timestamp per file/table
• If the same file was triggered within 30 seconds, the event is silently skipped
• For bitable events, the debounce key includes both fileToken and tableId
• The debounce is applied before the /hooks/agent call, so no session is created

Bot self-edit loop: When the agent updates a bitable record (e.g., changing status to "处理完"), that edit triggers MORE events. The bot self-edit check (comparing operator_id to botOpenId) catches most of these, but the debounce provides a critical safety net for cases where the operator ID doesn't match (e.g., API calls vs. bot identity).

Important: Already-running sessions cannot be stopped by debounce. If an event storm has already started, the sessions will run to completion. Debounce only prevents NEW triggers.

Re-patching After Updates

OpenClaw or extension updates may overwrite monitor.js. After any update:

bash

bash ./skills/feishu-doc-collab/scripts/patch-monitor.sh
openclaw gateway restart

The patch script is idempotent — checks for both /hooks/agent and _editDebounce markers.

Limitations

• Requires patching OpenClaw extension files (fragile across updates)
• Feishu app needs drive.file.edit_v1 event subscription approval
• Multiple OAuth scopes must be authorized (use batch auth for convenience)
• Document must use the structured protocol format for reliable routing
• Works best with docx type; other file types (sheets, slides) are not supported
• Isolated hook sessions reuse cached OAuth tokens from the main interactive session

Credits

Created by dongwei. Inspired by the need for real-time human-AI collaboration in Chinese enterprise workflows using Feishu/Lark.

License

MIT