Dingtalk bridge

DingTalk Bridge Skill

Bridges Claude Code with DingTalk group chat via the DingTalk Stream SDK + OpenAPI.

Capabilities

Feature	Description
Send Markdown	Send rich markdown messages to a DingTalk group
Send Text	Send plain text messages
Stream Bot	24/7 listener: receive @mentions, execute via claude -p, reply with results
Auto Conv Discovery	Conversation ID auto-saved on first @mention
Keepalive	20s WebSocket ping prevents DingTalk 30-min timeout
Crash Recovery	Exponential backoff (5s to 60s) on disconnect

Quick Start

1. Install

bash "$CLAUDE_SKILL_DIR/scripts/install.sh"

The script will:

• Install Python dependencies (dingtalk_stream, websockets)
• Prompt for your DingTalk App Key & Secret (or read from env)
• Generate config.json
• Create data/ directory for conversation state
• Optionally create a macOS LaunchAgent for 24/7 operation

2. Configure

Set credentials via environment variables (recommended):

export DINGTALK_APP_KEY="your_app_key"
export DINGTALK_APP_SECRET="your_app_secret"
export DINGTALK_WORKDIR="/path/to/your/project"  # optional

Or edit config.json in the skill directory (see config.example.json).

3. Get Conversation ID

The bot needs a conversation ID to send messages. Two ways:

Auto (recommended): Start the Stream bot, then @mention it in a DingTalk group. The conv ID is saved automatically.

Manual: If you already have the openConversationId and robotCode:

mkdir -p "$CLAUDE_SKILL_DIR/data"
echo '{"openConversationId":"YOUR_ID","robotCode":"YOUR_ROBOT_CODE"}' > "$CLAUDE_SKILL_DIR/data/conv.json"

Commands

Send a message

# Markdown (default)
python3 "$CLAUDE_SKILL_DIR/src/send.py" "**Bold** message with markdown"

# With custom title
python3 "$CLAUDE_SKILL_DIR/src/send.py" --title "Alert" "Server is down!"

# Plain text
python3 "$CLAUDE_SKILL_DIR/src/send.py" --text "Plain text message"

Start the Stream Bot

python3 "$CLAUDE_SKILL_DIR/src/stream_bot.py"

The bot will:

1. Connect to DingTalk via Stream protocol
2. Listen for all @mentions in groups where the bot is added
3. Execute the message content via claude -p "<message>" --continue
4. Reply with the result as a markdown message

Use as Python module

import sys
sys.path.insert(0, "/path/to/dingtalk-bridge/src")
from send import send_markdown, send_text

send_markdown("Daily Report", "**Sent:** 50\n**Opened:** 18\n**Clicked:** 7")
send_text("Simple notification")

Configuration Reference

Config Key	Env Var	Default	Description
app_key	DINGTALK_APP_KEY	(required)	DingTalk App Key
app_secret	DINGTALK_APP_SECRET	(required)	DingTalk App Secret
conv_file	DINGTALK_CONV_FILE	<skill>/data/conv.json	Conversation metadata path
workdir	DINGTALK_WORKDIR	cwd	Working directory for claude CLI
claude_bin	DINGTALK_CLAUDE_BIN	claude	Path to claude binary
max_reply	DINGTALK_MAX_REPLY	3000	Max reply length (chars)
keepalive	DINGTALK_KEEPALIVE	20	WebSocket keepalive interval (seconds)

DingTalk App Setup (Prerequisites)

1. Go to DingTalk Open Platform
2. Create an Enterprise Internal App (企业内部应用)
3. Enable Robot capability (机器人)
4. Set message receive mode to Stream (Stream 模式)
5. Copy the App Key and App Secret
6. Add the bot to a group chat

Running Tests

python3 "$CLAUDE_SKILL_DIR/tests/test_dingtalk.py"

Architecture

dingtalk-bridge/
├── SKILL.md              # This file
├── config.example.json   # Example configuration
├── config.json           # Your config (gitignored)
├── data/
│   └── conv.json         # Auto-saved conversation metadata
├── src/
│   ├── __init__.py
│   ├── config.py         # Config loader (env > file > defaults)
│   ├── send.py           # Send messages (OpenAPI)
│   └── stream_bot.py     # Stream bot (receive + execute + reply)
├── scripts/
│   └── install.sh        # One-command setup
└── tests/
    └── test_dingtalk.py  # Regression tests