medsci-skills: Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics

by Aperivue · Claude Skill · ★ 359

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Claude Code Skills

How to install medsci-skills

npx medsci-skills install        # copies every skill into your agent's folder
git clone https://github.com/Aperivue/medsci-skills.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsbiostatisticsclaude-codeclaude-skillsclinical-researchcodexcursordiagnostic-accuracyirb-protocolliterature-review

Quick Facts

Stars359
Forks85
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score71/100
Open Issues3
Last Updated2026-11-01
Created2026-04-06
Platformsclaude-code, cli, codex, python
Est. Tokens~25k

About medsci-skills

MedSci Skills 44 skills that actually work. Built by a physician-researcher, tested on real publications. MedSci Skills is a submission-grade clinical manuscript workflow, not a generic biomedical skill catalog. It competes on clinical submission reliability, not skill count. [![GitHub Copilot](https://img.shields.io/badge/G

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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