Medsci Modeling
Clinical AI model research engineering: choose a paper-grounded architecture, scaffold a reproducible PyTorch training repo, validate the model's split and validation design, document it (Model Card / Datasheet), and evaluate models or LLMs/MLLMs on clinical tasks. Integrates MONAI / nnU-Net, never replaces them.
Works with: Claude Code (native)
native: this artifact type is that client's own format
Category: Design — see all ranked ›
Install (Claude Code):
/plugin marketplace add Aperivue/medsci-skills
/plugin install medsci-modeling@medsci-skills- tashan score: 45.0
- Adoption: 1 repos
- Upkeep: 100.0
- Freshness: 100.0
- Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
- Health: active
- Contributors: 3
- License: MIT
Security audit
Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.
source ↗ · plugin:aperivue/medsci-skills/medsci-modeling
Already running this? npx tashan-cli doctor checks your whole config against the Index — how it works ›
Measured 2026-08-05 · scorer s5 · how · something wrong here?