Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Scholar Research
Search, analyze, and summarize peer-reviewed academic papers from open access sources. Provides credibility scoring, visualization, timeline generation, and...
skill openclawclawhub Free
Search, analyze, and summarize peer-reviewed academic papers from open access sources. Provides credibility scoring, visualization, timeline generation, and...
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0 stars Unverified but indexed
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, _meta.json, config.json, pyproject.toml, references/apis.md
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
- 1.0.0
Provenance
- Publisher
- jcheng67
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Scholar Research Skill
Search and analyze academic papers from open access sources with credibility scoring and detailed summaries.
When to Use
User wants to find papers on a specific topic User needs credibility assessment of papers User wants summarized research with methodology User wants to track field evolution over time User needs figures/tables extracted from top papers
Data Sources (Free/Open Access)
The skill searches across these sources: arXiv - Pre-prints (Physics, Math, CS, q-bio, q-fin) PubMed/PMC - Biomedical & Life sciences DOAJ - Peer-reviewed OA journals (all disciplines) OpenAlex - 250M+ papers metadata CORE - Largest OA full-text aggregator Semantic Scholar - Limited free tier Unpaywall - Finds free versions of paywalled papers CrossRef - All DOI metadata bioRxiv - Biology pre-prints medRxiv - Medicine pre-prints Zenodo - EU research data/papers HAL - French OA repository J-STAGE - Japanese OA repository SSRN - Economics, Law pre-prints
User-Added Sources
Users can add custom sources via config: { "custom_sources": [ {"name": "My University", "url": "https://repo.my.edu", "api": "..."} ] }
Default Weights (Total: 100 + 40 bonus)
Paper Quality (100 points): FactorWeightDescriptioncitation_count15%Times cited by other paperspublication_recency10%Newer = more relevantauthor_reputation12%Combined h-index of authorsjournal_impact12%Impact factor, CiteScorepeer_review_status10%Peer-reviewed vs pre-printopen_access8%Free to read/downloadretraction_status10%Not retractedauthor_network8%Connected to established networkfunder_acknowledgment5%Clear funding sourcesreproducibility5%Code/data available Bonus Points (up to +40): Author Trust: +20 max Journal Reputation: +20 max
Customizing Weights
Users can modify weights in config: { "scoring": { "citation_count": 25, "publication_recency": 5 } } Or use preset profiles: "strict", "recent_only", "balanced"
Top Papers (default: 5, user-configurable)
[1] Paper Title (Year) Score: 95/100 | Citations: 234 ๐ PDF | ๐ Figures | ๐ฌ SI Summary: [One paragraph] Methodology: [Detailed breakdown]
Field Timeline
๐ FIELD TIMELINE (N papers) 2024: โโโโโโโโโโโโโโโโโโโโ 15 papers โ Major: [Breakthrough 1] โ Trend: [Trend 1] 2023: โโโโโโโโโโโโโโโโ 12 papers โ Major: [Breakthrough 2]
Credibility Distribution
๐ Credibility Distribution Score 90-100: โโ (5) โ Top Score 70-89: โโโโโโโโ (15) Score 50-69: โโโโโโโโโโโโโโโโโโ (25) Score 30-49: โโโโโโโโโโ (10) Score 0-29: โโ (2) [โโโโโโโโโโโโโโโโโโโโโ] Average: 58/100
Workflow
Search: Query across all enabled sources Fetch: Download metadata + PDFs Score: Calculate credibility scores Sort: Rank by score + relevance Present: Top N papers + timeline Extract: Figures from top-scored papers (optional)
Usage Examples
Find papers on: machine learning Fields: computer science, AI Top papers: 5 Extract figures: true Find papers on: quantum computing Fields: physics Top papers: 10 Extract figures: false
Dependencies
Python 3.8+ requests (API calls) beautifulsoup4 (parsing) pypdf2 (PDF extraction) opencv-python (figure detection) transformers (summarization) matplotlib (visualization)
Configuration
See config.json for: API keys Source enable/disable Scoring weights Display preferences Custom sources
Notes
Always prioritize open access sources Cite sources in responses Warn about pre-print limitations Check retraction status when available Respect rate limits
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
3 Docs2 Config1 Files
- SKILL.md
- README.md
- references/apis.md
- _meta.json
- config.json
- pyproject.toml