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 ajhcs · Agent Tool · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is healthcare-agents safe to install? View the security audit →
Healthcare Agents 51 specialist AI agents for US healthcare administration. Installable prompts and skills for Claude Code, Codex, OpenCode, Cursor, Copilot, and other agentic coding tools. <img src="https://img.shields.io/badge/license-Apache%202.0-green?st
| Stars | 50 |
| Forks | 14 |
| Language | JavaScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 63.9200793641113/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-19 |
| Created | 2026-03-19 |
| Platforms | claude-code, node |
| Est. Tokens | ~22k |
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healthcare-agents is Portable prompt and SKILL.md pack with 51 specialist AI agents for US healthcare administration workflows.. It is categorized as a Agent Tool with 50 GitHub stars.
healthcare-agents is primarily written in JavaScript. It covers topics such as agents-md, ai-agents, ai-prompts.
You can find installation instructions and usage details in the healthcare-agents GitHub repository at github.com/ajhcs/healthcare-agents. The project has 50 stars and 14 forks, indicating an active community.
healthcare-agents is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to healthcare-agents on Agent Skills Hub include agentic-os, cre-agent-skills, forgecat-agent-profiles. 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: