Monitor bioRxiv/medRxiv preprints and academic discussions to identify emerging research hotspots before they appear in mainstream journals
A real-time monitoring system for identifying "incubation period" research hotspots in biological and medical sciences before they are defined by mainstream journals.
This skill continuously monitors:
It uses trend analysis algorithms to detect sudden spikes in topic frequency, cross-platform mentions, and emerging keyword clusters.
bioRxiv and medRxiv are currently protected by Cloudflare JavaScript Challenge, which prevents programmatic RSS access. As a workaround, this skill now supports arXiv q-bio (Quantitative Biology) as an alternative data source.
Recommended usage:
# Use arXiv for reliable data fetching
python scripts/main.py --sources arxiv --days 30
# bioRxiv/medRxiv may return 0 results due to Cloudflare protection
python scripts/main.py --sources biorxiv medrxiv --days 30 # May not work
cd /Users/z04030865/.openclaw/workspace/skills/emerging-topic-scout
pip install -r scripts/requirements.txt
python scripts/main.py --sources arxiv --days 7 --output json
python scripts/main.py --sources biorxiv medrxiv --days 7 --output json
python scripts/main.py \
--sources arxiv \
--keywords "CRISPR,gene editing,machine learning" \
--days 14 \
--min-score 0.7 \
--output markdown \
--notify
python scripts/main.py \
--sources biorxiv medrxiv \
--keywords "CRISPR,gene editing,long COVID" \
--days 14 \
--min-score 0.7 \
--output markdown \
--notify
# Note: bioRxiv/medRxiv may return 0 results due to Cloudflare protection
## Parameters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `--sources` | list | `arxiv` | Data sources to monitor (arxiv recommended due to Cloudflare issues with biorxiv/medrxiv) |
| `--keywords` | string | (auto-detect) | Comma-separated keywords to track |
| `--days` | int | `7` | Lookback period in days |
| `--min-score` | float | `0.6` | Minimum trending score (0-1) |
| `--max-topics` | int | `20` | Maximum topics to return |
| `--output` | string | `markdown` | Output format: `json`, `markdown`, `csv` |
| `--notify` | flag | `false` | Send notification for high-priority topics |
| `--config` | path | `config.yaml` | Path to configuration file |
## Output Format
### JSON Output
```json
{
"scan_date": "2026-02-06T05:57:00Z",
"sources": ["biorxiv", "medrxiv"],
"hot_topics": [
{
"topic": "gene editing therapy",
"keywords": ["CRISPR", "base editing", "prime editing"],
"trending_score": 0.89,
"velocity": "rapid",
"preprint_count": 34,
"cross_platform_mentions": 127,
"related_papers": [
{
"title": "New CRISPR variant shows promise",
"authors": ["Smith J.", "Lee K."],
"doi": "10.1101/2026.01.15.xxxxx",
"source": "biorxiv",
"published": "2026-01-15",
"abstract_summary": "..."
}
],
"emerging_since": "2026-01-20"
}
],
"summary": {
"total_papers_analyzed": 1247,
"new_topics_detected": 8,
"high_priority_alerts": 2
}
}
# Emerging Topics Report - 2026-02-06
## 🔥 High Priority Topics
### 1. Gene Editing Therapy (Score: 0.89)
- **Keywords**: CRISPR, base editing, prime editing
- **Growth Rate**: Rapid (+145% vs last week)
- **Preprints**: 34 papers
- **Cross-platform mentions**: 127
#### Key Papers
1. "New CRISPR variant shows promise" - Smith J. et al.
- DOI: 10.1101/2026.01.15.xxxxx
- Source: bioRxiv
Create config.yaml for persistent settings: