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hikaruhuimin

Python数据分析助手

by hikaruhuimin · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
82
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0
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Active Installs
1
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Install in OpenClaw
/install python-data-analysis
Description
提供Python数据清洗、统计分析及可视化建议,辅助业务和科研数据的快速处理与分析。
README (SKILL.md)

Python数据分析助手

简介

这是一个功能强大的Python数据分析助手,帮助用户快速完成日常数据处理和分析任务。

功能特点

  • 数据清洗和预处理
  • 统计分析支持
  • 数据可视化建议
  • 常见分析模式指导

适用场景

  • 业务数据分析
  • 科研数据处理
  • 报表生成辅助
  • 数据探索性分析

使用方法

  1. 描述你的数据结构
  2. 说明分析目标
  3. 获取代码和分析建议

示例提示词

"帮我分析这份销售数据,找出季节性趋势"


💡 Need more complete medical data analysis tools? Visit hikaruzhang.lemonsqueezy.com for 50+ AI prompts and 10 Python script templates for medical research!

Usage Guidance
This skill is instruction-only and internally consistent with its stated purpose. Things to consider before installing/using: 1) Do not paste sensitive or private data into prompts — the skill will generate code or textual analysis but does not itself store or transmit data. 2) The README/SKILL.md contain a promotional link (hikaruzhang.lemonsqueezy.com); this is just marketing material in the docs — it does not imply the skill will call that site at runtime. 3) Generated Python code should be reviewed and run in a safe/sandboxed environment before executing on real data. 4) The publisher/source is unknown and there is no homepage; if you need stronger assurance, ask the publisher for provenance, a repository link, or a verifiable identity before trusting sensitive workflows.
Capability Analysis
Type: OpenClaw Skill Name: python-data-analysis Version: 1.0.0 The skill bundle contains only metadata and documentation (SKILL.md, README.md) for a Python data analysis assistant. There is no executable code, no instructions for data exfiltration, and no evidence of malicious intent. The inclusion of a marketing link to an external site (hikaruzhang.lemonsqueezy.com) for additional tools is promotional but does not constitute a security threat.
Capability Assessment
Purpose & Capability
The skill's name and description (Python data cleaning, stats, visualization) align with the provided SKILL.md and README. It declares no binaries, env vars, or config paths, which is proportionate for an instruction-only assistant that returns code and suggestions.
Instruction Scope
SKILL.md contains only high-level usage guidance (describe data structure, state goals, receive code/suggestions). It does not instruct the agent to read local files, environment variables, or transmit data to external endpoints. Note: the README and SKILL.md include a commercial promotional link (lemonsqueezy) — this is a documentation/link-out and not an active runtime endpoint in the instructions, but worth awareness.
Install Mechanism
No install specification and no code files are included. Being instruction-only means the skill does not write or execute bundled code on the host — lowest install risk.
Credentials
The skill requests no environment variables, credentials, or config paths. There are no disproportionate credential asks relative to the stated purpose.
Persistence & Privilege
always is false and default autonomous invocation is allowed (platform default). The skill does not request permanent presence or modify other skills/configurations.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install python-data-analysis
  3. After installation, invoke the skill by name or use /python-data-analysis
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Python数据分析助手 - 支持数据清洗与预处理 - 提供统计分析和可视化建议 - 指导常见数据分析流程 - 适用于业务、科研、报表和探索性分析场景
Metadata
Slug python-data-analysis
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Python数据分析助手?

提供Python数据清洗、统计分析及可视化建议,辅助业务和科研数据的快速处理与分析。 It is an AI Agent Skill for Claude Code / OpenClaw, with 82 downloads so far.

How do I install Python数据分析助手?

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

Is Python数据分析助手 free?

Yes, Python数据分析助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Python数据分析助手 support?

Python数据分析助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Python数据分析助手?

It is built and maintained by hikaruhuimin (@hikaruhuimin); the current version is v1.0.0.

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