scientific-agent-skills — not yet audited

by Tyche-MKR · Codex Skill · ★ 50

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

About scientific-agent-skills

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 190,000+ scientists worldwide. 165 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.

Quick Facts

Stars50
Forks0
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score45.6232555820503/100
Last Updated2026-08-31
Created2026-08-31
Platformsclaude-code, codex, python
Est. Tokens~13k

Compatible Skills

These tools work well together with scientific-agent-skills for enhanced workflows:

More Codex Skill Tools

Explore other popular codex skill tools:

View all Codex Skill tools →

Popular Python Agent Tools

Frequently Asked Questions

What is scientific-agent-skills?

scientific-agent-skills is Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 190,000+ scientists worldwide. 165 ready-to-use validated skills plus 100+ scientific databases covering biolog. It is categorized as a Codex Skill with 50 GitHub stars.

What programming language is scientific-agent-skills written in?

scientific-agent-skills is primarily written in Python.

How do I install or use scientific-agent-skills?

You can find installation instructions and usage details in the scientific-agent-skills GitHub repository at github.com/Tyche-MKR/scientific-agent-skills. The project has 50 stars and 0 forks, indicating an active community.

What license does scientific-agent-skills use?

scientific-agent-skills is released under the MIT license, making it free to use and modify according to the license terms.

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:

View on GitHub → Browse Codex Skill tools