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 medusajs · Agent Tool · ★ 225
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is medusa-agent-skills safe to install? View the security audit →
Medusa Agent Skills A collection of skills composed as Claude Code plugins for building Medusa applications with best practices and architectural patterns. These skills can be used with any agent, as explained in the Usage with Other Agents section. Available Plugins Installation for Claude Code Usage Usage with Other Agents Privacy Available Plugins Installation for Claude Code Start Claude: Add the Medusa marketplace to Claude Code: Install any of the plugins. For example: Verify the plugin is loaded: You should see the Medusa plugin listed under the Installed tab. Usage with Other Agents Installation with The command allows you
| Stars | 225 |
| Forks | 29 |
| Language | JavaScript |
| Category | Agent Tool |
| Quality Score | 74.5140635644828/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-02 |
| Created | 2026-01-15 |
| Platforms | claude-code, node |
| Est. Tokens | ~13k |
These tools work well together with medusa-agent-skills for enhanced workflows:
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medusa-agent-skills is Agent skills and commands for Medusa best practices and conventions.. It is categorized as a Agent Tool with 225 GitHub stars.
medusa-agent-skills is primarily written in JavaScript. It covers topics such as agentic-commerce, claude, claude-code.
You can find installation instructions and usage details in the medusa-agent-skills GitHub repository at github.com/medusajs/medusa-agent-skills. The project has 225 stars and 29 forks, indicating an active community.
The top alternatives to medusa-agent-skills on Agent Skills Hub include claude-marketing, anythingmcp, cclsp. 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: