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 superiorlu · MCP Server · ★ 868
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AITreasureBox safe to install? View the security audit →
AI TreasureBox English | 中文 Collect practical AI repos, tools, websites, papers and tutorials on AI. Translated from ChatGPT, picture from Midjourney. Catalog Repos Tools Websites Report&Paper Tutorials Repos updated repos and stars every 2 hours and re-ranking automatically. [sindresorhus/awesome](https://github.com/sindres
| Stars | 868 |
| Forks | 125 |
| Language | Ruby |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 52.9415938208788/100 |
| Open Issues | 13 |
| Last Updated | 2026-09-23 |
| Created | 2023-03-16 |
| Platforms | browser, mcp, ruby |
| Est. Tokens | ~25k |
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AITreasureBox is 🤖 Automatically collected AI repos, tools, websites, papers & tutorials. 实用AI百宝箱 💎. It is categorized as a MCP Server with 868 GitHub stars.
AITreasureBox is primarily written in Ruby. It covers topics such as agentic, agi, ai.
You can find installation instructions and usage details in the AITreasureBox GitHub repository at github.com/superiorlu/AITreasureBox. The project has 868 stars and 125 forks, indicating an active community.
AITreasureBox is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to AITreasureBox on Agent Skills Hub include tools, samples, agent-builder. 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: