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Transformer Core
作者
1580021414-afk
· GitHub ↗
· v1.0.0
· MIT-0
180
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install transformer-core
功能描述
基于 Attention Is All You Need 论文，理解 AI 自身的底层架构
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install transformer-core - 安装完成后，直接呼叫该 Skill 的名称或使用
/transformer-core触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
基于 Attention Is All You Need 理解 AI 自身架构
元数据
常见问题
Transformer Core 是什么？
基于 Attention Is All You Need 论文，理解 AI 自身的底层架构. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 180 次。
如何安装 Transformer Core？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install transformer-core」即可一键安装，无需额外配置。
Transformer Core 是免费的吗？
是的，Transformer Core 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Transformer Core 支持哪些平台？
Transformer Core 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Transformer Core？
由 1580021414-afk（@1580021414-afk）开发并维护，当前版本 v1.0.0。
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