OpenClaw-Medical-Skills — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

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 FreedomIntelligence · Codex Skill · ★ 3.0k

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

🔒 Is OpenClaw-Medical-Skills safe to install? View the security audit →

About OpenClaw-Medical-Skills

OpenClaw Medical Skills The largest open-source medical AI skill library for OpenClaw. 869 curated skills

awesomeclaude-codeclawhubmedicalnanoclawopenclawopenclaw-skillsskills

Quick Facts

Stars3,044
Forks412
LanguagePython
CategoryCodex Skill
Quality Score69.8374412219367/100
Open Issues14
Last Updated2026-07-21
Created2026-03-08
Platformsclaude-code, python
Est. Tokens~25k

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Frequently Asked Questions

What is OpenClaw-Medical-Skills?

OpenClaw-Medical-Skills is The largest open-source medical AI skills library for OpenClaw🦞.. It is categorized as a Codex Skill with 3.0k GitHub stars.

What programming language is OpenClaw-Medical-Skills written in?

OpenClaw-Medical-Skills is primarily written in Python. It covers topics such as awesome, claude-code, clawhub.

How do I install or use OpenClaw-Medical-Skills?

You can find installation instructions and usage details in the OpenClaw-Medical-Skills GitHub repository at github.com/FreedomIntelligence/OpenClaw-Medical-Skills. The project has 3.0k stars and 412 forks, indicating an active community.

What are the best alternatives to OpenClaw-Medical-Skills?

The top alternatives to OpenClaw-Medical-Skills on Agent Skills Hub include awesome-agent-skills, memU, skillshare. 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:

View on GitHub → Browse Codex Skill tools