Python数据分析助手

v1.0.0

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。

⭐ 0· 24·0 current·0 all-time

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for hikaruhuimin/python-data-analysis.

Previewing Install & Setup.

Prompt PreviewInstall & Setup

Install the skill "Python数据分析助手" (hikaruhuimin/python-data-analysis) from ClawHub.
Skill page: https://clawhub.ai/hikaruhuimin/python-data-analysis
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Canonical install target

openclaw skills install hikaruhuimin/python-data-analysis

ClawHub CLI

Package manager switcher

npx clawhub@latest install python-data-analysis

Security Scan

VirusTotal

Benign

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OpenClaw

Benign

high confidence

✓

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.

ℹ

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.

Assessment

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.

Like a lobster shell, security has layers — review code before you run it.

analyticsvk9781qvc0pmg460gjp6he4nzms85hrrbdata-analysisvk9781qvc0pmg460gjp6he4nzms85hrrblatestvk9781qvc0pmg460gjp6he4nzms85hrrbpythonvk9781qvc0pmg460gjp6he4nzms85hrrb

24downloads

0stars

1versions

Updated 5h ago

v1.0.0

MIT-0

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

描述你的数据结构
说明分析目标
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!

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