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534422530

Auto Llm 1644

by 534422530 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
40
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0
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1
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1
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Install in OpenClaw
/install auto-llm-1644
Description
Provides a weekly AI large language model report for May 2026 with related Bilibili video links and study summaries.
README (SKILL.md)

Skill: auto_llm_1644\r

\r

AI 大模型周报 2026年5月 e(附链接)\r

\r

功能范围\r

  • AI 大模型周报 2026年5月 e(附链接)\r
  • Auto-generated from B站: BV1d2Vh6EE1t\r \r

归属管理\r

  • 归属核心: learn-expand\r
  • 源文件: auto_llm_1644.py\r \r

触发场景\r

  • 用户说"llm"\r
  • 用户说"AI 大模型周报 2026年5月 e(附链接)"\r \r Base directory: file:///C:\Users\pc.config\opencode\skills\auto_llm_1644\r \r

B站学习\r

学习时间: 2026-06-01 21:01\r \r

  • Amiru艾米璐: 一只本科生的首次中文学术会议oral——第二届中国游戏与电竞研究年会宣讲\r
  • 炮老师的小课堂: Comfyui本地LLM大语言模型润色提示词,让你灵感源源不断,出图美的冒泡~\r
  • Love丶伊卡洛斯: 【洛曦】实时语音对话数字人V14 新增说话打断 解决循环录音问题,优化webrtc连接,新增webui的日志查看\r \r

B站学习 (第1轮)\r

学习时间: 2026-06-02 09:20\r \r

B站学习 (第2轮)\r

学习时间: 2026-06-02 09:33\r \r

Usage Guidance
Install this only if you want this specific Chinese AI/LLM weekly-report skill and local KnowledgeBase entry behavior. Be aware that typing or discussing "llm" may invoke it unintentionally; a more specific trigger would be safer and less confusing.
Capability Assessment
Purpose & Capability
The artifacts match the stated purpose: a Chinese AI/LLM weekly report with Bilibili links, plus a small helper that stores the report topic in a local KnowledgeBase.
Instruction Scope
The trigger phrase "llm" is much broader than the specific weekly-report purpose, so it could activate during ordinary LLM discussions, but the disclosed behavior remains low-impact and related to the report.
Install Mechanism
The package contains a markdown skill file and a small Python helper, with no declared dependencies, installer script, obfuscation, or automatic setup behavior found.
Credentials
The helper uses an author-specific Windows path and imports a local KnowledgeBase module, which is environment-specific but coherent with a local learning/knowledge-base workflow.
Persistence & Privilege
When executed, the helper writes a single concept entry to a local KnowledgeBase; no credential access, network exfiltration, deletion, privilege escalation, or background persistence was found.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install auto-llm-1644
  3. After installation, invoke the skill by name or use /auto-llm-1644
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
auto-llm-1644 v1.0.0 - Initial release providing access to the AI 大模型周报 2026年5月 e(附链接). - Weekly summary auto-generated from B站: BV1d2Vh6EE1t. - Includes recommended B站学习 links with presentations and tutorials on Chinese academic conferences, local LLM workflows, and deep learning fundamentals. - Can be triggered by speaking "llm" or "AI 大模型周报 2026年5月 e(附链接)".
Metadata
Slug auto-llm-1644
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Auto Llm 1644?

Provides a weekly AI large language model report for May 2026 with related Bilibili video links and study summaries. It is an AI Agent Skill for Claude Code / OpenClaw, with 40 downloads so far.

How do I install Auto Llm 1644?

Run "/install auto-llm-1644" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Auto Llm 1644 free?

Yes, Auto Llm 1644 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Auto Llm 1644 support?

Auto Llm 1644 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Auto Llm 1644?

It is built and maintained by 534422530 (@534422530); the current version is v1.0.0.

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