Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
ResearchMonitor
Monitors research topics for new papers, conferences, and journals.
skill openclawclawhub Free
Monitors research topics for new papers, conferences, and journals.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, research_config.json, scripts/daily_briefing.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.2
Provenance
- Publisher
- eksubin
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
ResearchMonitor
This skill helps you keep the user updated on their specific research field.
Workflow
Check Configuration: Read research_config.json in this directory to find the user's research topics and last checked date. If the file doesn't exist or topics are empty, ask the user what research topics they are interested in and save them using scripts/daily_briefing.py --add-topic "topic". Daily Check: Get the current date. Compare with last_checked in research_config.json. If already checked today, do nothing unless explicitly asked. Perform Search: For each topic, use search_web to look for: "new research papers [topic] [current month/year]" "upcoming conferences [topic] [current year]" "new journal issues [topic] [current month/year]" Check specialized platforms like arXiv, IEEE Xplore, Google Scholar (via web search), or X (Twitter) if relevant. Filter & Analyze: For each potential item found, use scripts/daily_briefing.py --check-seen "URL or Unique Title". If it returns "true", SKIP IT. Compare found items with what might have been seen yesterday (this requires some memory or just checking if the publication date is very recent, e.g., last 24-48 hours). CRITICAL: If there is nothing significantly new (no new major papers, no new conference announcements), DO NOT BOTHER THE USER. Report: If new items are found, compile a brief markdown report. Include: Title: News/Paper Title Source: URL/Journal Name Summary: 1-sentence summary of why it's relevant. Present this to the user. Mark the items as seen using scripts/daily_briefing.py --mark-seen "URL or Unique Title". Update the last_checked date using scripts/daily_briefing.py --update-date.
Scripts
python scripts/daily_briefing.py --add-topic "topic": Adds a new research topic. python scripts/daily_briefing.py --list-topics: Lists current topics. python scripts/daily_briefing.py --update-date: Updates the last checked timestamp to now. python scripts/daily_briefing.py --check-seen "ID": Checks if an item ID (URL/Title) is already in memory. python scripts/daily_briefing.py --mark-seen "ID": Marks an item ID as seen.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- SKILL.md
- README.md
- scripts/daily_briefing.py
- research_config.json