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yesong-hue

LLM数据自动化

by yesong-Hue · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
18
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Install in OpenClaw
/install qnit-llm-data-auto
Description
自动生成满足需求的Python和Pandas数据处理代码,支持基于描述快速完成数据操作任务。
README (SKILL.md)

name: "llm-data-automation" version: "1.0.0" title: "LLM数据自动化" description: "用LLM自动生成Python和Pandas代码" tags: "data,python,llm,automation" author: "yesong-Hue"


功能说明

用LLM自动生成Python和Pandas代码

触发方式

发送包含技能名称或相关指令的消息即可触发。

使用方法

  1. 清晰描述您的需求
  2. 系统调用对应技能处理
  3. 返回处理结果

安全声明

本技能无系统命令执行、无本地高危文件读写、无外部恶意网络请求,仅做文本处理和常规API调用,无任何风险操作。

Usage Guidance
The skill appears safe to install based on the provided artifacts. As with any code-generation assistant, review generated Python/Pandas code before running it on important data.
Capability Analysis
Type: OpenClaw Skill Name: qnit-llm-data-auto Version: 1.0.0 The skill bundle contains only metadata and documentation (skill.md, readme.md, _meta.json) for an LLM-based Python and Pandas code generation tool. No executable code, suspicious network requests, or prompt injection attempts were found in the provided files.
Capability Assessment
Purpose & Capability
The stated purpose is to generate Python and Pandas code from user descriptions, and the artifacts are consistent with that purpose.
Instruction Scope
The instructions are limited to describing the user’s request and receiving a generated result; there are no instructions to run generated code, access private data, or override user intent.
Install Mechanism
No install specification, helper scripts, binaries, or package dependencies are provided.
Credentials
No environment variables, credentials, configuration paths, OS restrictions, or local capabilities are requested.
Persistence & Privilege
The artifacts show no persistence, background behavior, privilege escalation, account access, or stored memory use.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install qnit-llm-data-auto
  3. After installation, invoke the skill by name or use /qnit-llm-data-auto
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug qnit-llm-data-auto
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is LLM数据自动化?

自动生成满足需求的Python和Pandas数据处理代码,支持基于描述快速完成数据操作任务。 It is an AI Agent Skill for Claude Code / OpenClaw, with 18 downloads so far.

How do I install LLM数据自动化?

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

Is LLM数据自动化 free?

Yes, LLM数据自动化 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does LLM数据自动化 support?

LLM数据自动化 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created LLM数据自动化?

It is built and maintained by yesong-Hue (@yesong-hue); the current version is v1.0.0.

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