A comprehensive Python wrapper for the Feishu/Lark Custom Bot API that facilitates automated messaging, image uploads, and interactive cards via webhooks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lark-custom-bot
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install lark-custom-bot using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Pywayne Lark Custom Bot?
The Pywayne Lark Custom Bot is a robust integration tool designed to streamline communication within the Feishu and Lark ecosystems. By utilizing Openclaw Skills, developers can programmatically dispatch a wide variety of message types—ranging from simple text notifications to complex interactive cards—directly to their team channels. This skill simplifies the interaction with Lark's webhook API, abstracting away the boilerplate code required for authentication and payload construction.
Whether you are building an automated alerting system or a collaborative project bot, this tool provides the necessary hooks to ensure your messages are delivered securely and formatted professionally. It is an essential component for teams looking to enhance their DevOps or internal communication workflows through Openclaw Skills, offering native support for both file-based and OpenCV image processing.
Pywayne Lark Custom Bot Use Cases
- Sending real-time system alerts and monitoring notifications to dedicated Feishu channels.
- Automating the delivery of visual reports by uploading OpenCV-generated images directly to group chats.
- Creating interactive workflows using Lark's card system for approvals or task management.
- Distributing rich text posts with embedded links and @mentions to improve team engagement via Openclaw Skills.
- Sharing specific chat content or session identifiers within the Lark workspace.
How Pywayne Lark Custom Bot Works
- The user provides the Lark webhook URL and optional security secrets to initialize the bot instance.
- For visual content, the skill authenticates with the Lark API using the App ID and Secret to obtain temporary upload tokens.
- Content builders generate structured JSON payloads for rich text, links, or interactive elements.
- The skill signs the request if a secret is provided to ensure secure delivery to the Lark endpoint.
- The payload is transmitted via HTTP POST, and the skill handles the server response or any potential network exceptions within the Openclaw Skills framework.
Pywayne Lark Custom Bot Setup
To integrate this skill into your project, ensure you have the pywayne package installed. You will need your Lark Custom Bot webhook URL and credentials from the Feishu/Lark Developer Console.
pip install pywayne
Basic initialization in your Python environment:
from pywayne.lark_custom_bot import LarkCustomBot
bot = LarkCustomBot(
webhook="your_webhook_url",
secret="your_signing_secret",
bot_app_id="your_app_id",
bot_secret="your_app_secret"
)
Pywayne Lark Custom Bot Data Schema & Taxonomy
The skill organizes its operations around the Lark API message types and authentication requirements. Below is the primary data structure used when interacting with this tool:
| Parameter | Description | Required |
|---|---|---|
| webhook | The unique URL for the Lark custom bot | Yes |
| secret | Signature verification string for security | Optional |
| bot_app_id | Application ID for image upload permissions | For Images |
| bot_secret | Application secret for image upload permissions | For Images |
| image_key | Unique identifier for uploaded image assets | Internal |
| card | JSON object defining interactive card elements | For Cards |
Pywayne Lark Custom Bot Advanced Features
- Support for signature-based verification to enhance the security of webhook triggers.
- Direct integration with OpenCV (cv2) for uploading dynamically generated images without saving to disk.
- Granular @mention controls for notifying specific users by ID or addressing the entire channel.
- Multi-modal content support allowing text, images, and links to be combined in a single rich text post through Openclaw Skills.
- Robust error handling and logging for failed API requests and network timeouts.
SKILL.md
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