ResearchMonitor for Openclaw

ResearchMonitor is an automated agent skill that tracks new academic papers, journals, and conference announcements tailored to your specific research interests.

eksubin
v0.1.2
Feb 4, 2026
1
2.9k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install researchassistant

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is ResearchMonitor?

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.

ResearchMonitor Use Cases

  • Automatically tracking new preprints on arXiv and IEEE Xplore for specific niche topics.
  • Monitoring upcoming conference submission deadlines and journal call-for-papers.
  • Maintaining a persistent log of seen research materials to prevent duplicate reading.
  • Generating daily or weekly briefings on industry-specific technical news.

How ResearchMonitor Works

  1. The agent reads the research_config.json file to determine the user's research topics and the timestamp of the last successful check.
  2. If no topics are found, it interactively prompts the user to define their research areas.
  3. It performs a targeted web search across scholarly platforms and social media for the specific current month and year.
  4. All found items are cross-referenced against a local database of seen IDs to filter out previously discovered papers or news.
  5. If significant new items are found, the skill generates a structured Markdown report featuring titles, sources, and relevancy summaries.
  6. The local state is updated to mark the new items as seen and the global last_checked date is refreshed.

ResearchMonitor Setup

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

ResearchMonitor Data Schema & Taxonomy

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.

ResearchMonitor Advanced Features

  • Intelligent 'Do Not Disturb' logic that suppresses reporting if no significant updates are found.
  • Granular state management allowing users to manually mark items as seen or unseen via CLI.
  • Multi-platform search capabilities spanning academic journals, preprint servers, and social media platforms.
  • Seamless integration with other Openclaw Skills for automated knowledge management and notification workflows.

SKILL.md


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