Scholar Research
by @jcheng67
Search, analyze, and summarize peer-reviewed academic papers from open access sources. Provides credibility scoring, visualization, timeline generation, and...
clawhub install scholar-researchπ About This Skill
name: scholar-research description: "Search, analyze, and summarize peer-reviewed academic papers from open access sources. Provides credibility scoring, visualization, timeline generation, and figure extraction for top papers."
Scholar Research Skill
Search and analyze academic papers from open access sources with credibility scoring and detailed summaries.
When to Use
Data Sources (Free/Open Access)
The skill searches across these sources:
User-Added Sources
Users can add custom sources via config:
{
"custom_sources": [
{"name": "My University", "url": "https://repo.my.edu", "api": "..."}
]
}
Scoring System
Default Weights (Total: 100 + 40 bonus)
Paper Quality (100 points): | Factor | Weight | Description | |--------|--------|-------------| | citation_count | 15% | Times cited by other papers | | publication_recency | 10% | Newer = more relevant | | author_reputation | 12% | Combined h-index of authors | | journal_impact | 12% | Impact factor, CiteScore | | peer_review_status | 10% | Peer-reviewed vs pre-print | | open_access | 8% | Free to read/download | | retraction_status | 10% | Not retracted | | author_network | 8% | Connected to established network | | funder_acknowledgment | 5% | Clear funding sources | | reproducibility | 5% | Code/data available |
Bonus Points (up to +40):
Customizing Weights
Users can modify weights in config:
{
"scoring": {
"citation_count": 25,
"publication_recency": 5
}
}
Or use preset profiles: "strict", "recent_only", "balanced"
Output Format
Top Papers (default: 5, user-configurable)
[1] Paper Title (Year)
Score: 95/100 | Citations: 234
π PDF | π Figures | π¬ SI
Summary: [One paragraph]
Methodology: [Detailed breakdown]
Field Timeline
π FIELD TIMELINE (N papers)2024: ββββββββββββββββββββ 15 papers
β Major: [Breakthrough 1]
β Trend: [Trend 1]
2023: ββββββββββββββββ 12 papers
β Major: [Breakthrough 2]
Credibility Distribution
π Credibility DistributionScore 90-100: ββ (5) β
Top
Score 70-89: ββββββββ (15)
Score 50-69: ββββββββββββββββββ (25)
Score 30-49: ββββββββββ (10)
Score 0-29: ββ (2)
[βββββββββββββββββββββ] Average: 58/100
Workflow
1. Search: Query across all enabled sources 2. Fetch: Download metadata + PDFs 3. Score: Calculate credibility scores 4. Sort: Rank by score + relevance 5. Present: Top N papers + timeline 6. Extract: Figures from top-scored papers (optional)
Usage Examples
Find papers on: machine learning
Fields: computer science, AI
Top papers: 5
Extract figures: trueFind papers on: quantum computing
Fields: physics
Top papers: 10
Extract figures: false
Dependencies
Configuration
See config.json for:
Notes
β‘ When to Use
βοΈ Configuration
See config.json for: