by FreedomIntelligence · Codex Skill · ★ 2.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
OpenClaw Medical Skills The largest open-source medical AI skill library for OpenClaw. 869 curated skills
| Stars | 2,467 |
| Forks | 351 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 55.858/100 |
| Open Issues | 6 |
| Last Updated | 2026-03-27 |
| Created | 2026-03-08 |
| Platforms | claude-code, python |
| Est. Tokens | ~5043k |
Looking for a OpenClaw-Medical-Skills alternative? If you're comparing OpenClaw-Medical-Skills with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The definitive resource for Agent Skills - modular capabilities revolutionizing AI agent architecture
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Self-hosted, open-source agent skill registry for enterprises. Publish & version skill packages, govern with R
Give your AI the power to browse, scrape, and extract structured data from complex websites — with faster exec
A complete security skill suite for OpenClaw, Hermes, PicoClaw and NanoClaw agents (and variants). Protect you
Unbrowse — api native browser skill/cli for any agent. Auto-discovers APIs from browser traffic, generates ski
Explore other popular codex skill tools:
OpenClaw-Medical-Skills is The largest open-source medical AI skills library for OpenClaw🦞.. It is categorized as a Codex Skill with 2.5k GitHub stars.
OpenClaw-Medical-Skills is primarily written in Python. It covers topics such as awesome, claude-code, clawhub.
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 2.5k stars and 351 forks, indicating an active community.
The top alternatives to OpenClaw-Medical-Skills on Agent Skills Hub include awesome-agent-skills, mcp-use, skillhub. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.