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 anthropics · Claude Skill · ★ 608
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is life-sciences safe to install? View the security audit →
Life Sciences Marketplace for Claude Code This marketplace provides MCP (Model Context Protocol) servers and skills for life sciences tools. Install these plugins to access specialized research and analysis tools directly within Claude Code. What's included: MCP Servers: Connect to external services like PubMed, BioRender, Synapse, and more Skills: Domain-specific workflows and analysis capabilities that extend Claude's expertise Quick Start For servers requiring authentication (all except PubMed), configure credentials after installation: Type in Claude Code Select "Manage plugins" Find your installed server Select "Configure" Enter required credentials Restart Claude Code Available Plugins Remote MCP Servers PubMed Plugin ID: Search and access biomedical literature and research articles from PubMe
| Stars | 608 |
| Forks | 110 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 67.4012709088015/100 |
| Open Issues | 20 |
| Last Updated | 2026-08-14 |
| Created | 2025-10-17 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~1586k |
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life-sciences is Repo for the Claude Code Marketplace to use with the Claude for Life Sciences Launch. This will continue to host the marketplace.json long-term, but not the actual MCP servers.. It is categorized as a Claude Skill with 608 GitHub stars.
life-sciences is primarily written in Python.
You can find installation instructions and usage details in the life-sciences GitHub repository at github.com/anthropics/life-sciences. The project has 608 stars and 110 forks, indicating an active community.
The top alternatives to life-sciences on Agent Skills Hub include claude-codex-settings, digital-marketing-pro. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: