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 laolaoshiren · Agent Tool · ★ 69
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-hot safe to install? View the security audit →
🔥 AI热榜 GitHub 只放首页摘要,完整版请直接去网站看:热点更全、搜索更强、导航更完整。 🌐 在线网站:https://aihot.bt199.com/ 🔍 站内搜索:https://aihot.bt199.com/search/ 🕐 最近更新:2026-06-24 03:55:12 提供商直达: 🟠 小米 MiMo · ⚡️ ZenMux|免费调用 DeepSeek V4 API,上手零门槛 · 硅基流动 · 火山引擎 立即进入: 首页完整版 · 搜索 AI 工具 / 模型 / 新闻 · 查看全部工具 · 查看模型榜 · 查看 Agent 专区 🔥 今日热点 Anthropic 的 Claude Tag 正在了解您的公司,一次一条 Slack 消息 Anthropic 的新 Claude Tag 为 Slack 带来了一位永远在线的 AI 队友。但除了生产力之外,该功… Fika Jobs 筹集了 400 万美元,用于建立一个视频优先的招聘平台,人工智能代理可以在这里面试候选人 总部位于斯德哥尔摩的初
| Stars | 69 |
| Forks | 10 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 52.3999799301531/100 |
| Last Updated | 2026-09-23 |
| Created | 2026-04-20 |
| Platforms | python |
| Est. Tokens | ~15k |
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ai-hot is 🔥 AI热榜:面向中文用户的 AI 工具、模型、Agent、新闻导航站,GitHub + 网站双向信息流,每6小时自动更新. It is categorized as a Agent Tool with 69 GitHub stars.
ai-hot is primarily written in Python. It covers topics such as ai, ai-agent, ai-directory.
You can find installation instructions and usage details in the ai-hot GitHub repository at github.com/laolaoshiren/ai-hot. The project has 69 stars and 10 forks, indicating an active community.
ai-hot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-hot on Agent Skills Hub include awesome-ai-agents-directories, riseofmachine, awesome-claude. 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: