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hanxueyuan

Kaist

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
54
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1
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Install in OpenClaw
/install kaist
Description
KAIST is South Korea’s top science and tech university, leading research in AI, robotics, semiconductors, and fostering industry innovation.
README (SKILL.md)

Kaist

历史时间线

  • 1971: 朴正熙总统推动创立 KAIST,借鉴 MIT 模式
  • 1981: 迁至大田广域市大德研究特区
  • 1990: 韩国首批半导体人才培养计划启动
  • 2004: 与韩国信息通信大学合并,扩大 IT 学科
  • 2009: 开发出世界首个双足人形机器人 HUBO
  • 2015: AlphaGo 挑战赛中,韩国 AI 研究团队有 KAIST 背景
  • 2023: 在 AI、量子计算、半导体领域发表量亚洲前三
  • 2024: QS 世界大学排名工程与技术领域前 15

商业模式

国立研究型大学,政府资助为主(年度预算约 8,000 亿韩元),科研收入和企业联合实验室为辅。重点学科:计算机科学、电气工程、材料科学、AI 和机器人。

护城河分析

韩国唯一以科学技术命名的研究型大学,政府战略资源倾斜;大德研究特区产学研一体化;韩国半导体和电子产业人才的主要来源。

关键数据

在校生约 11,000 人;2024 年预算约 6.5 亿美元;三星、LG、SK 高管中 KAIST 校友占比极高。

有趣事实

  • KAIST 允许本科生从大一开始进入实验室参与实际科研项目
  • 韩国首位宇航员李素妍就是 KAIST 校友
Usage Guidance
This skill is informational only and appears safe from a security standpoint: it contains static text about KAIST and asks for no credentials or installs. Two non-security points to consider before installing: (1) source/homepage is unknown — verify facts independently if you will act on them; (2) content is in Chinese and may be outdated or simplified, so confirm important details from authoritative sources. Otherwise there are no technical red flags.
Capability Analysis
Type: OpenClaw Skill Name: kaist Version: 1.0.0 The skill bundle contains purely informational and encyclopedic content regarding KAIST (Korea Advanced Institute of Science and Technology). The SKILL.md file provides historical context, academic statistics, and institutional analysis without any executable code, shell commands, or malicious prompt injection instructions. All files are consistent with the stated purpose of providing educational information.
Capability Assessment
Purpose & Capability
The name/description (KAIST university profile) matches the SKILL.md content. The skill requests no env vars, binaries, or config paths, which is proportionate to an informational summary.
Instruction Scope
SKILL.md is static documentation (history, facts, analysis) and the read_when triggers are descriptive. There are no instructions to read system files, access environment variables, call external endpoints, or transmit data.
Install Mechanism
There is no install spec and no code files. Nothing is written to disk or downloaded at install time.
Credentials
The skill declares no required environment variables, credentials, or config paths — appropriate for a read-only informational skill.
Persistence & Privilege
always is false and the skill does not request special privileges or modify other skills. Autonomous invocation is allowed by default but the skill contains only static content, so its blast radius is minimal.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install kaist
  3. After installation, invoke the skill by name or use /kaist
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 初始版本发布,概述 KAIST 的历史、学科优势和行业地位 - 增加关键历史节点和成就(如与 MIT 对标设立、双足机器人 HUBO、AlphaGo 关联等) - 详细介绍商业模式与政府支撑 - 提供护城河与产学研结合分析 - 收录最新数据与有趣事实,包括校友成就 - 明确适用阅读场景(科技、教育、AI、创新研究等)
Metadata
Slug kaist
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Kaist?

KAIST is South Korea’s top science and tech university, leading research in AI, robotics, semiconductors, and fostering industry innovation. It is an AI Agent Skill for Claude Code / OpenClaw, with 54 downloads so far.

How do I install Kaist?

Run "/install kaist" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Kaist free?

Yes, Kaist is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Kaist support?

Kaist is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Kaist?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

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