open-science — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by aipoch · MCP Server · ★ 4.8k

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

🔒 Is open-science safe to install? View the security audit →

About open-science

Open Science An open-source, model-agnostic AI workbench for scientific discovery. Open Science is a local desktop application for researchers. Create a project, describe a task in plain languag

agent-skillsai-agentai-for-scienceai-researchai-research-workbenchai-workbenchbioinformaticsdesktop-applocal-firstmcp

Quick Facts

Stars4,785
Forks288
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score62.3094539983439/100
Open Issues35
Last Updated2026-09-20
Created2026-07-03
Platformsmcp, node
Est. Tokens~21k

Compatible Skills

These tools work well together with open-science for enhanced workflows:

  • open-science — semantic(0.63)+rare_topics+same_lang+similar_pop+shared_platform (72%)
  • ai4s-skills — semantic(0.39)+complementary+rare_topics+similar_pop (64%)
  • claude-prism — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • VersperClaw — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • pawwork — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)

open-science alternative? Top 6 similar tools

Looking for a open-science alternative? If you're comparing open-science with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • open-science by ai4s-research · ⭐ 1.7k

    Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-sour

  • wisp-science by xuzhougeng · ⭐ 1.2k

    Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformat

  • k-dense-byok by K-Dense-AI · ⭐ 1.2k

    An AI co-scientist running on your desktop. Claude Science but better.

  • claude-scientific-skills by K-Dense-AI · ⭐ 17.3k

    A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.

  • note-gen by codexu · ⭐ 12.8k

    Capture first. Organize later. A local-first Markdown app that turns scattered records into clear notes with A

  • basic-memory by basicmachines-co · ⭐ 4.0k

    AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: htt

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Frequently Asked Questions

What is open-science?

open-science is AIPOCH Open-Science: an open-source AI research workbench for scientific agent workflows and reproducible science. Local-first, model-agnostic desktop app with skills and MCP tools for macOS, Windows . It is categorized as a MCP Server with 4.8k GitHub stars.

What programming language is open-science written in?

open-science is primarily written in TypeScript. It covers topics such as agent-skills, ai-agent, ai-for-science.

How do I install or use open-science?

You can find installation instructions and usage details in the open-science GitHub repository at github.com/aipoch/open-science. The project has 4.8k stars and 288 forks, indicating an active community.

What license does open-science use?

open-science is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to open-science?

The top alternatives to open-science on Agent Skills Hub include open-science, wisp-science, k-dense-byok. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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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