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AI Data Analysis

作者 ZhangYang · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
5595
总下载
1
收藏
31
当前安装
1
版本数
在 OpenClaw 中安装
/install ai-data-analysis
功能描述
Automates CSV/Excel data cleaning, statistical analysis, trend detection, anomaly identification, visualization, and report generation.
安全使用建议
Reasonable to install for basic local CSV cleaning or summaries if you trust the publisher. Treat generated output files as copies of your data, delete them when handling sensitive datasets, and expect to install pandas separately. Do not rely on the advertised Excel, charting, PDF/HTML, trend, or anomaly features unless a later version implements them.
功能分析
Type: OpenClaw Skill Name: ai-data-analysis Version: 1.0.0 The skill bundle is classified as suspicious due to critical vulnerabilities in `main.py`. The script directly uses `sys.argv` for `file_path` and `output_format` without sufficient sanitization. This allows for arbitrary file read (including potential Server-Side Request Forgery via URLs) when `file_path` is passed to `pd.read_csv()`, and arbitrary file write via path traversal when `output_format` is used to construct output filenames (e.g., `../../../../tmp/malicious.sh`). These vulnerabilities could lead to remote code execution if exploited by a malicious user or a prompt-injected agent.
能力评估
Purpose & Capability
The code is broadly aligned with CSV analysis and cleaning, but the documentation overstates capabilities such as Excel input, charting, PDF/HTML export, trends, and anomaly detection.
Instruction Scope
Runtime behavior is user-invoked through explicit CLI arguments; there are no prompt overrides, hidden instructions, automatic execution hooks, or instructions to bypass review.
Install Mechanism
No installer or postinstall behavior is present, but the Python dependency on pandas is not declared in package metadata.
Credentials
Reading a user-selected local data file and writing derived reports is proportionate to the stated purpose, though users should avoid passing unintended sensitive files.
Persistence & Privilege
The skill creates persistent local output files under an output directory, but it does not request credentials, elevated privileges, background persistence, network access, or account authority.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ai-data-analysis
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-data-analysis 触发
  4. 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
元数据
Slug ai-data-analysis
版本 1.0.0
许可证
累计安装 205
当前安装数 31
历史版本数 1
常见问题

AI Data Analysis 是什么?

Automates CSV/Excel data cleaning, statistical analysis, trend detection, anomaly identification, visualization, and report generation. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 5595 次。

如何安装 AI Data Analysis?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-data-analysis」即可一键安装,无需额外配置。

AI Data Analysis 是免费的吗?

是的,AI Data Analysis 完全免费(开源免费),可自由下载、安装和使用。

AI Data Analysis 支持哪些平台?

AI Data Analysis 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 AI Data Analysis?

由 ZhangYang(@arthasking123)开发并维护,当前版本 v1.0.0。

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