translational-gap-analyzer
Assess translational gaps between preclinical models and human diseases to predict clinical failure risks
Profile →npx skills add majiayu000/claude-skill-registry --skill translational-gap-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Translational Gap Analyzer **ID**: 209 ## Description Assesses the "translational gap" between basic research models (such as mice, zebrafish, cell lines) and human diseases, providing early warning of clinical translation failure risks. This system helps researchers identify potential translational barriers in preclinical research and improve clinical trial success rates through multi-dimensional analysis. ## Capabilities - Evaluates anatomical/physiological differences between models and humans - Analyzes pathological similarity of disease models - Identifies interspecies differences in molecular pathways - Evaluates pharmacokinetic differences - Provides early warning of clinical trial failure risk factors - Provides improvement recommendations to increase translation success rates ## Usage ```bash # Full assessment report python scripts/main.py --model <model_type> --disease <disease_name> --full # Quick risk assessment python scripts/main.py --model <model_type> --disease <disease_name> --quick # Compare multiple models python scripts/main.py --models mouse,rat,primate --disease <disease_name> --compare # Specify focus areas python scripts/main.py --model mouse --disease "Al
- Description
- Capabilities
- Usage
- Arguments
- Example Output
- Model Types
- Common Models
- Gap Scoring System
- Dependencies
- Files
- Risk Assessment
- Security Checklist
- Prerequisites
- Evaluation Criteria
Full assessment report python scripts/main.py --model <model_type> --disease <disease_name> --full Quick risk assessment python scripts/main.py --model <model_type> --disease <disease_name> --quick Compare multiple models python scripts/main.py --models mouse,rat,primate --disease <disease_name> --compare Specify focus areas python scripts/main.py --model mouse --disease "Alzheimer's" --focus metabolism,immune Python dependencies pip install -r requirements.txt
What does the translational-gap-analyzer skill do?
Assess translational gaps between preclinical models and human diseases to predict clinical failure risks
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill translational-gap-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.