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 KKKKhazix · MCP Server · ★ 5.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AIHOT safe to install? View the security audit →
一个自己找热点、自己写日报的网站框架。 把信源换成你的，把精选标准换成你的 KnowHow，它就是你的行业热点站。 跑起来 · 改成你的行业 · 它是怎么工作的 · 文档 这是什么 AIHOT 是我做的一个 AI 热点网站。它每天从一批信源里收资料，用大模型先筛一遍、再独立打两次分，挑出真正值得看的，写成中文标题和摘要；把不同来源说的同一件事聚成一个事件，按有多少人在说排出热点；每天早上出一份日报。 这个仓库是它的完整框架：网站、后台、精选流程、聚簇和热度算法，所有提示词的原文和入选门槛，都在这里。 为什么开源 这半年，很多做法律、做 HR、做金融、做贵金属的朋友问我，能不能也给他们的行业做一个。 我做不了。我不懂你们的行业，不知道哪些信源有用，也不知道什么样的消息，对你们来说才叫热点。 但你们懂。 既然我没办
| Stars | 5,170 |
| Forks | 1,385 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59.4065526872891/100 |
| Open Issues | 14 |
| Last Updated | 2026-10-03 |
| Created | 2026-09-28 |
| Platforms | docker, mcp, node |
| Est. Tokens | ~15k |
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AIHOT is 一个自己找热点、自己写日报的网站框架。把信源和精选标准换成你的，它就是你的行业热点站。. It is categorized as a MCP Server with 5.2k GitHub stars.
AIHOT is primarily written in TypeScript. It covers topics such as ai, content-curation, llm.
You can find installation instructions and usage details in the AIHOT GitHub repository at github.com/KKKKhazix/AIHOT. The project has 5.2k stars and 1385 forks, indicating an active community.
AIHOT is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to AIHOT on Agent Skills Hub include harbor, agents, mcp-searxng. 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: