SciAgent-Skills: 197 bioinformatics & life science skills for Claude Code and AI agents — BixBench 92.0% accuracy

by jaechang-hits · Claude Skill · ★ 384

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

Featured in: Claude Code Skills

How to install SciAgent-Skills

git clone https://github.com/jaechang-hits/SciAgent-Skills.git
/plugin marketplace add jaechang-hits/SciAgent-Skills

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 74/100

Flagged: install step in a code block runs a script from an untrusted host. 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.

ai-agentbioinformaticsbiostatisticsbixbenchcheminformaticsclaude-codeclaude-pluginclaude-skillscomputational-biologydrug-discovery

Quick Facts

Stars384
Forks45
LanguagePython
CategoryClaude Skill
Quality Score74/100
Open Issues7
Last Updated2026-11-04
Created2026-02-18
Platformsclaude-code, python
Est. Tokens~15k

About SciAgent-Skills

SciAgent-Skills 196 ready-to-use scientific skills for AI coding agents — covering genomics, proteomics, drug discovery, biostatistics, scientific computing, and scientific writing. Each skill is a self-contained SKILL.md file with runnable code examples, key parameters, troubleshooting guides, and best practices.

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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:

View on GitHub → Browse Claude Skill tools