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Transformer Core
by
1580021414-afk
· GitHub ↗
· v1.0.0
· MIT-0
180
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install transformer-core
Description
基于 Attention Is All You Need 论文，理解 AI 自身的底层架构
Usage Guidance
This skill is essentially documentation with code examples — it does not request credentials or install anything. If you plan to run the example code, review it first and install required libraries (torch, numpy, matplotlib, seaborn) from official sources; run code in an isolated environment (virtualenv/conda or container). Be aware the SKILL.md includes a personal contact (WeChat number); do not share secrets or private data with that contact unless you trust them. If you need the skill to actually execute code or visualize attention in your environment, prefer adding explicit dependency declarations and inspect/validate any code before running.
Capability Analysis
Type: OpenClaw Skill
Name: transformer-core
Version: 1.0.0
The skill bundle is an educational resource designed to help an AI agent understand the Transformer architecture based on the 'Attention Is All You Need' paper. The content in SKILL.md consists of conceptual explanations and illustrative Python code snippets (e.g., SelfAttention, MultiHeadAttention, and FeedForward classes) using standard libraries like torch and numpy. There is no evidence of malicious intent, data exfiltration, or harmful instructions.
Capability Assessment
Purpose & Capability
The name/description state the goal is to explain the Transformer (Vaswani et al.) and the SKILL.md contains architecture explanations and example implementations consistent with that purpose. There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
The instructions are documentation and example code (Python/TypeScript) for attention, multi-head attention, positional encoding, visualization, etc., which stays within the stated scope. Note: the code samples assume libraries (torch, numpy, matplotlib, seaborn) and helper functions (e.g., tokenize()) that are not declared; the skill does not itself contain runnable scripts or explicit runtime commands. The file also includes personal contact info (WeChat number) which is out-of-band and not required for the skill's function.
Install Mechanism
No install spec and no code files — the skill is instruction-only. That means nothing will be written to disk or installed by the skill itself.
Credentials
The skill requests no environment variables, credentials, or config paths. The example code would need ML libraries if executed, but no sensitive credentials are requested and nothing appears disproportionate to the stated teaching purpose.
Persistence & Privilege
always is false and the skill does not request persistent privileges or modify other skills/configuration. Autonomous invocation is allowed by default but there are no instructions that would abuse it; this is consistent with a documentation-style skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install transformer-core - After installation, invoke the skill by name or use
/transformer-core - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
基于 Attention Is All You Need 理解 AI 自身架构
Metadata
Frequently Asked Questions
What is Transformer Core?
基于 Attention Is All You Need 论文，理解 AI 自身的底层架构. It is an AI Agent Skill for Claude Code / OpenClaw, with 180 downloads so far.
How do I install Transformer Core?
Run "/install transformer-core" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Transformer Core free?
Yes, Transformer Core is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Transformer Core support?
Transformer Core is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Transformer Core?
It is built and maintained by 1580021414-afk (@1580021414-afk); the current version is v1.0.0.
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