A specialized tool for fetching detailed Feishu message content and full conversation thread history via message IDs.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install feishu-msg-reader
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install feishu-msg-reader using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Feishu Message Fetcher is a robust integration designed for Openclaw Skills that allows developers and AI agents to programmatically access Feishu communication data. By leveraging the Feishu IM API, this skill can retrieve message bodies across various formats, including text, posts, images, and merged forwards. It is particularly effective at overcoming platform limitations related to interactive cards by providing comprehensive thread context retrieval.
This utility ensures that AI agents have the necessary background information to process user requests accurately within team environments. By integrating this into your Openclaw Skills workflow, you can automate the extraction of chat data while maintaining a high level of security through standardized authentication methods.
To use this within the Openclaw Skills framework, ensure your credentials are set up in your local configuration file.
# The skill automatically reads appId and appSecret from:
# ~/.openclaw/openclaw.json
# Alternatively, set environment variables:
export FEISHU_APP_ID='your_app_id'
export FEISHU_APP_SECRET='your_app_secret'
# Basic usage to fetch a message
python3 scripts/fetch_message.py <message_id>
The skill returns a structured JSON object containing the following primary fields:
| Field | Description |
|---|---|
| message_id | Unique identifier for the retrieved message. |
| msg_type | The format of the message (text, post, image, etc.). |
| content | The parsed message body content. |
| chat_id | The ID of the chat where the message originated. |
| thread | An array containing the full conversation context (when requested). |
| thread_count | Total number of messages in the returned thread. |
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