> 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

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SKILL.mdfeishu-doc-collab

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. Feishu app event subscriptions enabled:
    • drive.file.edit_v1 — document edit events
    • drive.file.bitable_record_changed_v1 — (optional) bitable record changes
  3. Hooks enabled in openclaw.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:

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

This patches monitor.ts in the Feishu extension to:

  • Detect drive.file.edit_v1 events
  • Trigger an isolated agent session via /hooks/agent
  • The agent reads the doc, checks for new messages, and responds

Step 3: Configure your agent identity

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

openclaw gateway restart

Step 5: Set up the Doc Chat Protocol

Copy the protocol template to your workspace:

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

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
POST /hooks/agent with isolated session instructions
        ↓
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:

---
> **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:

    {
      "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 updates overwrite monitor.ts. After any update:

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

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

Configuration Reference

config.json

FieldTypeRequiredDescription
agent_namestringYesInternal name used in protocol routing
agent_display_namestringYesDisplay name shown in doc replies
bitable.app_tokenstringNoBitable app token for task board
bitable.table_idstringNoBitable 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 updates overwrite monitor.ts. After any update:

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 source files (fragile across updates)
  • Feishu app needs drive.file.edit_v1 event subscription approval
  • Document must use the structured protocol format for reliable routing
  • Works best with docx type; other file types (sheets, slides) are not supported

Credits

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

License

MIT

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first seenMar 23, 2026
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┌ repo

LeoYeAI/openclaw-master-skills
by LeoYeAI
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