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Python Dataviz
作者
matthew-a-gordon
· GitHub ↗
· v1.0.0
9888
总下载
7
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install python-dataviz
功能描述
Professional data visualization using Python (matplotlib, seaborn, plotly). Create publication-quality static charts, statistical visualizations, and interac...
安全使用建议
Before installing, be aware that setup will install Python visualization dependencies from package indexes and the example scripts create PNG or HTML files in the directory where they are run. Use a virtual environment and explicit output filenames if you need reproducible dependency versions or want to avoid overwriting existing files.
功能分析
Type: OpenClaw Skill
Name: python-dataviz
Version: 1.0.0
This OpenClaw skill bundle is benign. All files, including SKILL.md and the Python scripts, are focused on providing data visualization capabilities using standard libraries like matplotlib, seaborn, and plotly. The documentation clearly outlines the skill's purpose and usage, and the Python scripts generate various types of plots, saving them as image or HTML files, which is the expected and stated functionality. There is no evidence of prompt injection attempts, data exfiltration, unauthorized system access, suspicious network activity, or any other malicious intent. All dependencies listed in pyproject.toml are legitimate data science libraries.
能力评估
Credentials
The examples write chart image and HTML files into the current working directory, which is expected for a data visualization skill but could overwrite files with the same names.
Install Mechanism
Installation uses standard Python packaging through pyproject.toml and pulls common data visualization dependencies from package indexes; dependencies are lower-bounded rather than fully pinned, which users may want to lock in sensitive environments.
Instruction Scope
Runtime instructions are limited to creating a virtual environment, installing the package, activating the environment, and running example scripts; the docs include a hard-coded example path and references to two missing guide files, but these are documentation quality issues rather than security concerns.
Persistence & Privilege
No artifact-backed evidence of cron jobs, startup hooks, background workers, privilege escalation, credential access, tool hijacking, destructive commands, or hidden persistence was found.
Purpose & Capability
The stated purpose is creating charts and plots with matplotlib, seaborn, and plotly, and the artifact contents are documentation plus example scripts that generate PNG or HTML visualizations from sample data.
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 python-dataviz - 安装完成后，直接呼叫该 Skill 的名称或使用
/python-dataviz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
Initial release of python-dataviz skill:
- Provides professional data visualization with Python using matplotlib, seaborn, and plotly.
- Supports creation of publication-quality static charts, statistical graphics, and interactive plots.
- Includes comprehensive start guide, best practices, and chart selection reference.
- Offers ready-to-use examples and troubleshooting tips.
- Enables PNG/SVG (static) and HTML (interactive) export for charts.
- Bundles key dependencies in an isolated virtual environment.
元数据
常见问题
Python Dataviz 是什么？
Professional data visualization using Python (matplotlib, seaborn, plotly). Create publication-quality static charts, statistical visualizations, and interac... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 9888 次。
如何安装 Python Dataviz？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install python-dataviz」即可一键安装，无需额外配置。
Python Dataviz 是免费的吗？
是的，Python Dataviz 完全免费（开源免费），可自由下载、安装和使用。
Python Dataviz 支持哪些平台？
Python Dataviz 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 Python Dataviz？
由 matthew-a-gordon（@matthew-a-gordon）开发并维护，当前版本 v1.0.0。
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