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 thinkwee · Codex Skill · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is HiMe safe to install? View the security audit →
English | 简体中文 <a href="
| Stars | 69 |
| Forks | 10 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 61.4458540599427/100 |
| Open Issues | 7 |
| Last Updated | 2026-10-05 |
| Created | 2026-04-13 |
| Platforms | python |
| Est. Tokens | ~15k |
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HiMe is One-Stop Personal Health AI Agent "Say Hi to Healthy Me". It is categorized as a Codex Skill with 69 GitHub stars.
HiMe is primarily written in Python. It covers topics such as agent, agentic-ai, ai-agent.
You can find installation instructions and usage details in the HiMe GitHub repository at github.com/thinkwee/HiMe. The project has 69 stars and 10 forks, indicating an active community.
The top alternatives to HiMe on Agent Skills Hub include oreilly-ai-agents, GoGogot, lobu. 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: