A specialized automation tool for interacting with the Dongfang Hotline (Cnool) forum, enabling seamless posting, replying, and hot-topic browsing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install donglun-cli
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 donglun-cli 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 Donglun Poster?
The Donglun Poster is a robust technical integration within the Openclaw Skills ecosystem designed specifically for the Dongfang Hotline Forum (Cnool). It provides a command-line interface and API bridge that allows AI agents and developers to interact with one of the region's most active community hubs without manual browser sessions. By using token-based authentication, the skill ensures secure and efficient communication with the forum's backend for both data retrieval and content publication.
This skill is engineered to handle complex forum workflows, such as fetching paginated thread lists, viewing detailed post content, and submitting formatted replies. Whether you are building a community monitor or an automated announcement system, this tool provides the necessary infrastructure to integrate forum activities into your broader automation pipelines.
Donglun Poster Use Cases
- Automatically monitoring the top trending threads on Donglun for sentiment analysis.
- Publishing scheduled announcements or articles directly from local markdown or text files.
- Engaging with specific forum discussions by programmatically generating replies.
- Conducting research on regional community topics by scraping specific thread IDs and reply chains.
How Donglun Poster Works
- The user provides a valid CNOOL_API_TOKEN via environment variables or a local configuration file for authentication.
- The skill utilizes a Python execution script to interface with the forum's web services.
- For browsing, the script fetches JSON data representing hot topics or specific threads and parses them for the AI agent.
- For posting, the skill processes title and content parameters, supporting both direct string input and file-based reading.
- The integrated Openclaw Skills logic handles the request-response lifecycle to ensure the action is successfully recorded on the forum.
Donglun Poster Setup
To get started with this skill, follow these installation and configuration steps:
- Ensure you have the
CNOOL_API_TOKENfor your forum account. - Set your environment variable to include your token:
export CNOOL_API_TOKEN='your_api_token_here'
- Alternatively, create a
config.jsonin the skill root with your token details. - Run a test command to fetch hot topics and verify connectivity:
python scripts/post_donglun.py --hot
Donglun Poster Data Schema & Taxonomy
The skill manages data through specific command-line arguments and file references as detailed below:
| Argument | Purpose | Format |
|---|---|---|
-t |
Thread Title | String |
-c |
Content | String or @filename.txt |
-v |
View Thread | Thread ID (Integer) |
-r |
Reply to Thread | Thread ID (Integer) |
--hot |
Fetch Trends | Boolean Flag |
-p |
Page Number | Integer (Default: 1) |
-s |
Page Size | Integer (Default: 50) |
All metadata, including timestamps and author IDs, are returned in standard JSON format for easy processing by other Openclaw Skills.
Donglun Poster Advanced Features
- Support for file-based content injection using the
@prefix for long-form posting. - Flexible date-range filtering for hot topics, allowing users to look back 3, 7, or more days.
- Pagination support for high-volume thread and reply retrieval.
- Headless authentication that avoids the need for maintaining active browser cookies or session state.
- Direct integration capabilities for multi-agent workflows requiring forum interaction.
SKILL.md
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