ResearchMonitor is an automated agent skill that tracks new academic papers, journals, and conference announcements tailored to your specific research interests.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install researchassistant
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 researchassistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ResearchMonitor is a specialized tool designed for academics, developers, and researchers who need to stay current without the manual effort of daily searching. By leveraging the Openclaw Skills framework, this agent periodically scans the web and specialized academic databases to find the latest developments in your chosen fields. It focuses on high-signal updates, ensuring you are only notified when truly new and relevant information becomes available.
The skill acts as a personalized research assistant, managing its own configuration and state to avoid redundant notifications. Whether you are tracking breakthroughs in quantum computing or updates in software engineering methodologies, ResearchMonitor streamlines the information gathering process by synthesizing findings into concise, actionable reports.
To initialize the ResearchMonitor for Openclaw Skills, you can add your topics via the command line:
# Add a research topic
python scripts/daily_briefing.py --add-topic "Large Language Models"
# List all current topics
python scripts/daily_briefing.py --list-topics
| Component | Description |
|---|---|
| research_config.json | Primary configuration file storing user topics and the last_checked timestamp. |
| daily_briefing.py | The core script managing the stateful memory of seen research items. |
| Seen Database | A persistent record of URLs and titles to ensure unique reporting. |
| Markdown Report | The output format containing Title, Source (URL), and a one-sentence relevancy summary. |
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