ClawHub

Deepmind

v1.0.0

DeepMind leads AI research with breakthroughs like AlphaGo's game wins and AlphaFold's protein folding predictions advancing science and industry.

⭐ 0· 45·0 current·0 all-time
by@hanxueyuan

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Deepmind" (hanxueyuan/deepmind) from ClawHub.
Skill page: https://clawhub.ai/hanxueyuan/deepmind
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

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OpenClaw CLI

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openclaw skills install deepmind

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npx clawhub@latest install deepmind
Security Scan
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Benign
high confidence
✓
Purpose & Capability
The skill's name and description promise background on DeepMind and the SKILL.md provides historical, commercial, and technical summary content. There are no requested binaries, env vars, or installs that would be unrelated to an informational/document skill.
✓
Instruction Scope
SKILL.md is static explanatory content (in Chinese) and a small read_when hint list. It does not instruct the agent to run shell commands, access files, read environment variables, or transmit data to external endpoints beyond normal model behavior.
✓
Install Mechanism
No install spec is present (instruction-only). This is the lowest-risk form: nothing is written to disk or downloaded by the skill itself.
✓
Credentials
The skill requests no environment variables or credentials and declares no config paths, which is appropriate for a read-only informational skill.
✓
Persistence & Privilege
always is false and the skill does not request persistent or elevated privileges. It is user-invocable and can be called autonomously by the agent (platform default), which is proportional for a harmless informational skill.
Assessment
This skill is low-risk and simply provides background information about DeepMind. Before installing, note that the skill's source and homepage are unknown — that affects provenance (you can't verify where the text came from). Verify any factual claims against authoritative sources if you need accurate, up-to-date information. Because it requests no credentials or installs, there is no direct credential-exfiltration risk, but as with any third-party content, be cautious about relying on it for critical decisions and consider restricting autonomous invocation if you prefer tighter control over which skills the agent can call without your prompt.

Like a lobster shell, security has layers — review code before you run it.

latestvk977j2r1jyd92c5a8e3xhgqnk985n9kw
45downloads
0stars
1versions
Updated 10h ago
v1.0.0
MIT-0
@hanxueyuan
latest
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Deepmind

历史时间线

  • 2010年：Demis Hassabis和Mustafa Suleyman在伦敦创立DeepMind Technologies
  • 2014年：Google以$5亿收购
  • 2016年：AlphaGo击败李世石，全球关注AI的里程碑时刻
  • 2017年：AlphaGo Zero以自我对弈超越所有版本
  • 2018年：AlphaFold发布，解决蛋白质折叠问题
  • 2020年：AlphaFold2在CASP竞赛中达到实验级精度
  • 2024年：AlphaFold3发布，覆盖蛋白质、DNA、RNA及小分子

商业模式

Google旗下AI研究实验室，主要目标不是直接创收，而是推动AI前沿研究并服务于Google产品。AlphaFold Database免费开放给全球科学家，但在药物研发和材料科学领域间接创造了巨大的商业价值。

护城河分析

世界顶尖的AI研究团队（多位ICML/NeurIPS最佳论文得主），Google的算力和数据支持，AlphaFold在结构生物学中的不可替代性，强化学习领域的持续领先。

关键数据

2010年创立，2014年Google以$5亿收购，AlphaFold预测了2亿+蛋白质结构

有趣事实

AlphaFold解决的'蛋白质折叠问题'是生物学50年未解难题。2024年诺贝尔化学奖颁给了蛋白质结构预测领域的研究者——而DeepMind的AlphaFold被认为是推动这一进展的关键力量。

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