Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on real publications. MIT.
⚡ Executive Summary & Quick Facts
Authoritative Sourcemedsci-skills is medsci-skills is an open-source project written in Python: Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on real publications. MIT.. It provides a free, self-hosted open-source alternative to Cursor.
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), Aperivue/medsci-skills has accumulated 352 GitHub stars and 84 forks. It is written in Python, licensed under MIT, and ranks #12,495 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
| Repository | Aperivue/medsci-skills ↗ |
|---|---|
| Primary Category | agent skills |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 352 stars · ⑂ 84 forks · #12,495 globally |
| Maintenance | ● Active (Last commit: Oct 27, 2026) · 6 open issues |
| Replaces SaaS | Open Source Cursor Alternative ($20/month per user) → |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, medsci-skills is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (4 days ago). Supported by 352 stars and 84 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+32
STARS · LAST 30 DAYS
1
PER DAY
#1,602
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +23 | +32 | +90 |
| Per day | 3 | 1 | 1 |
| Forks gained | +7 | +7 | +10 |
medsci-skills gained 32 stars in the last 30 days, about 1 a day, and now has 352. It is about 1 year old and has averaged roughly 352 stars a year. It ranks #1,602 among Python repositories and #12,495 across all languages on GitHubRepo.
Trending Record
29
DAYS ON TRENDING
#1624
BEST RANK
Sep 30, 2026
FIRST APPEARANCE
Active
STATUS TODAY
medsci-skills has maintained a continuous presence across global trending indexes, peaking at #1624. Below is the 30-day activity profile:
💡 Overview
medsci-skills is an open-source project written in Python: Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on real publications. MIT.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, biostatistics, claude-code. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install medsci-skills⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
medsci-skills coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with medsci-skills.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install medsci-skills using your package manager: `pip install medsci-skills`
Initialize your project workspace or configuration file for medsci-skills.
Import medsci-skills into your codebase or invoke it directly from your terminal.
Execute your test suite or run `medsci-skills --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Aperivue/medsci-skills is currently ranked #12,495 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #12,474 | jgarzik/hk | Rust | ★ 353 | Compare ↗ |
| #12,474 | adithya-s-k/FineEnvs | Python | ★ 353 | Compare ↗ |
| #12,474 | bulaofen0036-coder/TIA_Portal_Openness_MCP | C# | ★ 353 | Compare ↗ |
| #12,474 | lakeday-org/perch | JavaScript | ★ 353 | Compare ↗ |
| #12,474 | mrsarac/ff-tracking | Rust | ★ 353 | Compare ↗ |
| #12,495 | Aperivue/medsci-skills This Project | Python | ★ 352 | |
| #12,495 | wimleers/fileconveyor | Python | ★ 352 | Compare ↗ |
| #12,495 | sindresorhus/sindresorhus.github.com | JavaScript | ★ 352 | Compare ↗ |
| #12,495 | jolicode/JoliTypo | PHP | ★ 352 | Compare ↗ |
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Frequently Asked Questions
What does medsci-skills do? +
Agent Skills for medical research — literature search, reporting-guideline & citation checks, statistics, publication figures, submission. Works with Claude Code, Codex, Cursor & GitHub Copilot. Built by a physician-researcher, tested on real publications. MIT.
Is medsci-skills actively maintained in 2026? +
Yes, medsci-skills is actively maintained. The latest code push was recorded on Oct 27, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 352 stars and 6 open issues.
What language is medsci-skills written in? +
The primary language is Python. Topics include: agent-skills, biostatistics, claude-code, claude-skills, clinical-research.
How many stars does medsci-skills have? +
medsci-skills has 352 stars and 84 forks on GitHub.
How does medsci-skills rank among GitHub repositories? +
With 352 stars, Aperivue/medsci-skills is ranked #12,495 globally across all repositories tracked on GitHubRepo and #1,602 among Python projects.
What license is medsci-skills distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
