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