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LLM数据自动化

Name: LLM数据自动化
Author: yesong-hue

作者 yesong-Hue · GitHub ↗ · v1.1.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-llm-data-automation

功能描述

用自然语言描述数据处理需求，LLM自动生成Python/Pandas代码。无需深厚编程基础即可处理Excel/CSV数据、提取PDF内容、清洗BIM数据，构建自动化数据管道。

使用说明 (SKILL.md)

LLM数据自动化

用自然语言描述数据处理需求，LLM自动生成Python/Pandas代码，实现零基础数据自动化

核心功能

自然语言生成代码 — 描述你的数据处理需求，LLM自动生成可运行的Python代码
Excel/CSV批量处理 — 自动读取、清洗、转换Excel和CSV文件
PDF数据提取 — 从PDF文档中自动提取表格数据
多数据源整合 — 合并多个数据源，统一输出
数据质量检测 — 自动检测重复值、缺失值、异常值
定时自动化 — 配合cron实现数据处理任务自动化

推荐资源

ShadowAI API（推荐）: https://referer.shadowai.xyz/r/1056448

由 AI智造工坊 (http://ai.qnitgroup.com) 整理发布 | 安装源: ClawHub

安全使用建议

Install only if you are comfortable reviewing generated Python before running it. Keep source data in a dedicated folder, back it up, avoid sending sensitive data to cloud LLM providers unless approved, and verify any external scripts or missing helper files before use.

功能分析

Type: OpenClaw Skill Name: ai-llm-data-automation Version: 1.1.0 The skill bundle promotes a 'natural language to code' automation tool that is inherently risky due to its RCE-by-design nature. It contains multiple referral links to a third-party API provider (shadowai.xyz, ID: 1056448), suggesting a monetization motive. Furthermore, SKILL.md references several missing executable files (run.js, templates/sales-report.js) and encourages the high-risk practice of piping remote scripts to a shell (curl|sh) for environment setup.

能力标签

requires-sensitive-credentials

能力评估

ℹ Purpose & Capability

The skill's purpose—generating Python/Pandas workflows for CSV, Excel, PDF, and data-cleaning tasks—is coherent, but the documentation references runnable helper files such as run.js and templates that are not present in the provided artifact set.

ℹ Instruction Scope

The instructions encourage generating executable Python code and processing user-provided files. This is central to the skill, but users should review generated scripts before running them.

ℹ Install Mechanism

There is no install spec and no packaged code, but SKILL.md includes optional user-directed setup commands including pip installs and a curl-to-shell Ollama installer.

ℹ Credentials

Filesystem access is requested and proportionate for local data processing, but it can involve sensitive local documents or business data if the user points the skill at those files.

ℹ Persistence & Privilege

The skill mentions cron/system task scheduling and optional API keys. These appear user-directed and purpose-aligned, but scheduled jobs and credentials should be scoped and managed carefully.

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 ai-llm-data-automation
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-llm-data-automation 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

v1.1.0

重写完整README：增加详细功能说明、适用场景、代码示例、环境配置、故障排除等

v1.0.0

首发版本，支持自然语言生成Python代码

元数据

Slug ai-llm-data-automation

版本 1.1.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 2

常见问题