A specialized automation skill for researchers to subscribe to journals and topics via OpenAlex with daily Chinese summaries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install research-paper-push
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 research-paper-push 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 Research Paper Push?
Research Paper Push is a sophisticated automation tool designed for the academic community, enabling users to create scheduled research-paper alerts. By leveraging the OpenAlex API and OpenClaw cron functionality, it monitors journals, conferences, and specific research topics to keep users updated on the latest scientific advancements.
This skill is particularly optimized for medical and neuroimaging research, providing concise Chinese summaries of newly matched papers. It bridges the gap between massive academic databases and a researcher's daily workflow by delivering curated, highly relevant content directly to their preferred communication channels.
Research Paper Push Use Cases
- Subscribing to new paper releases in specific research areas like AD/MCI or GNNs.
- Automating daily pushes of papers from high-impact journals such as IEEE TMI or NeuroImage.
- Managing multiple research subscriptions with list, update, and cancel functionalities.
- Testing complex OpenAlex queries before committing to a scheduled automation.
- Implementing a local, privacy-conscious research monitoring workflow using Openclaw Skills.
How Research Paper Push Works
- The user defines subscription parameters including journals, topics, and a preferred daily push time.
- The Openclaw Skills script registers a local cron job to trigger the search at the specified interval.
- Upon execution, the skill builds an English OpenAlex search query, filtering by publication date and relevance.
- It fetches paper metadata including titles, abstracts, DOIs, and citation counts from the OpenAlex works endpoint.
- The skill processes the data, scoring relevance against the user's topics and translating key insights into a concise Chinese summary.
- The summary is delivered to the specified recipient, and the subscription's last-checked date is updated to avoid duplicates.
Research Paper Push Setup
To get started with Research Paper Push in your Openclaw Skills environment, use the provided management script:
# Add a new subscription
python scripts/manage_papers.py add --to "<recipient-id>" --time "09:00" --timezone "Asia/Shanghai" --journals "NeuroImage" --topics "rs-fMRI"
# Test a query without subscribing
python scripts/manage_papers.py test --since "2026-01-01" --limit 5 --journals "Nature" --topics "Deep Learning"
Ensure OPENALEX_MAILTO is set in your environment if you wish to use the OpenAlex polite pool.
Research Paper Push Data Schema & Taxonomy
The skill organizes its state and paper tracking using a structured JSON approach:
| Feature | Description |
|---|---|
| Subscription State | Stored in data/*.json containing IDs, recipient info, and query parameters. |
| Tracking | Maintains a last_checked timestamp for each subscription to ensure only new papers are pushed. |
| Paper Records | Normalized data including Title, Authors, Venue, Date, DOI, and Abstract. |
| Metadata | Taxonomy includes relevance scores and matched topic keywords. |
Research Paper Push Advanced Features
- Multi-recipient support for lab-wide research updates.
- Support for custom lookback periods using the
--daysor--sinceflags. - Advanced relevance scoring including neuroimaging synonym groups and adjacent result filtering.
- Local cron management for reliable, self-hosted scheduling without external dependencies.
- Deduplication logic based on DOI and OpenAlex unique identifiers.
SKILL.md
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