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Install in OpenClaw
/install auto-llm-4712
Description
Provides AI large model weekly report from May 2026 with video links and detailed study notes sourced from Bilibili content creators.
README (SKILL.md)
Skill: auto_llm_4712\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_4712.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_4712\r \r
B站学习\r
学习时间: 2026-06-01 21:01\r \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
- 不归牛顿管的熊猫: 全面解析LLM MoE专家并行EP all-to-all算子(小白也能看懂)\r
- 五道口纳什: [LLM+RL] GRPO 中的 KL div（散度），reverse vs. forward，以及无偏估计（Schulman）\r \r
B站学习 (第1轮)\r
学习时间: 2026-06-02 09:20\r \r
- 不归牛顿管的熊猫: 全面解析LLM MoE专家并行EP all-to-all算子(小白也能看懂)\r https://www.bilibili.com/video/BV1W314BfEHr\r
- 若苗瞬: 基于OpenCLI的个人小助理WEBUI\r https://www.bilibili.com/video/BV1DNG86eEr3\r
- 五道口纳什: [LLM+RL] GRPO 中的 KL div（散度），reverse vs. forward，以及无偏估计（Schulman）\r https://www.bilibili.com/video/BV1rsAXe7EZs\r \r
B站学习 (第2轮)\r
学习时间: 2026-06-02 09:33\r \r
- 不归牛顿管的熊猫: 全面解析LLM MoE专家并行EP all-to-all算子(小白也能看懂)\r https://www.bilibili.com/video/BV1W314BfEHr\r
- 若苗瞬: 基于OpenCLI的个人小助理WEBUI\r https://www.bilibili.com/video/BV1DNG86eEr3\r
- 五道口纳什: [LLM+RL] GRPO 中的 KL div（散度），reverse vs. forward，以及无偏估计（Schulman）\r https://www.bilibili.com/video/BV1rsAXe7EZs\r
Usage Guidance
Install only if you are comfortable with this skill writing to a local KnowledgeBase when run. Avoid invoking it with sensitive or proprietary text, and consider narrowing the trigger from "llm" to the full report title before use.
Capability Assessment
Purpose & Capability
The visible skill content presents a Bilibili-sourced AI weekly report, while the Python helper writes a concept into a KnowledgeBase; that may fit a local learning workflow, but it is not clearly disclosed in the skill text.
Instruction Scope
The trigger phrase "llm" is very broad for a specific weekly report and could activate during ordinary LLM conversations, increasing the chance of unintended local storage.
Install Mechanism
No package installer, dependency download, service registration, or background setup was found, but the script imports a KnowledgeBase helper from a fixed local Windows path outside the artifact.
Credentials
No network calls, credential access, deletion, or privilege escalation were found; the main environmental concern is mutation of a local knowledge store via an external local module.
Persistence & Privilege
If executed, the script stores the caller-provided parameter, or a default report title, into a knowledge base every run without a consent prompt, size limit, retention note, or deletion guidance.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install auto-llm-4712 - After installation, invoke the skill by name or use
/auto-llm-4712 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
auto-llm-4712 v1.0.0
- Initial release focused on the "AI 大模型周报 2026年5月 e（附链接）" weekly report.
- Aggregates and provides links to key B站 videos covering LLM, MoE专家并行EP all-to-all算子, RL技术等最新内容.
- Skill is auto-triggered when users mention "llm" or "AI 大模型周报 2026年5月 e（附链接）".
- Core attribution: learn-expand; Source: auto_llm_4712.py.
Metadata
Frequently Asked Questions
What is Auto Llm 4712?
Provides AI large model weekly report from May 2026 with video links and detailed study notes sourced from Bilibili content creators. It is an AI Agent Skill for Claude Code / OpenClaw, with 38 downloads so far.
How do I install Auto Llm 4712?
Run "/install auto-llm-4712" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Auto Llm 4712 free?
Yes, Auto Llm 4712 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Auto Llm 4712 support?
Auto Llm 4712 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Auto Llm 4712?
It is built and maintained by 534422530 (@534422530); the current version is v1.0.0.
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