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在 OpenClaw 中安装
/install mini-analysis-column
功能描述
统计分析csv文件中某一列的表现
安全使用建议
This skill appears to do exactly what it says: compute simple statistics on a numeric CSV column. If you install it: (1) run it locally or in a trusted environment; (2) install pandas via your normal package manager (prefer a virtualenv); (3) only pass CSV files you trust (the script reads the file you point it to); and (4) use --debug to inspect input shape/head if you want more confidence. There are no network calls or credential requests in the code.
功能分析
Type: OpenClaw Skill
Name: mini-analysis-column
Version: 0.1.1
The skill bundle provides a standard utility for calculating basic statistics (max, min, mean) from a CSV file using the pandas library. The Python script (scripts/compute.py) and documentation (SKILL.md) are consistent with the stated purpose, and there is no evidence of malicious intent, data exfiltration, or suspicious execution patterns.
能力评估
Purpose & Capability
Name/description say it analyzes a single CSV column; SKILL.md and scripts/compute.py only request a CSV file path and column name and perform max/min/mean. There are no unrelated credentials, binaries, or services required.
Instruction Scope
Instructions only ask to install pandas and run the script with --file and --rowkey. The script reads only the given CSV, prints basic stats and (optionally) debugging output. It does not read other system files, environment variables, or send data to external endpoints.
Install Mechanism
No install spec in the skill bundle; SKILL.md recommends 'pip install pandas', which is appropriate and proportionate for the task. (Installing packages from PyPI is standard; users should perform installs in a trusted environment.)
Credentials
The skill requires no environment variables, credentials, or config paths. The only input is a user-supplied CSV file path and column name, which aligns with the stated functionality.
Persistence & Privilege
Skill is not always-enabled and uses the normal model-invocation default. It does not attempt to modify agent configuration or request persistent privileges.
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 mini-analysis-column - 安装完成后，直接呼叫该 Skill 的名称或使用
/mini-analysis-column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
v0.1.1
- Update: Only numeric columns are now supported for statistical analysis; string column analysis has been removed.
- Add: Explicit dependency note for pandas installation.
- Change: Usage instructions updated to clarify that only numeric columns can be analyzed.
- Clarify: Documentation and notes now specify string columns are not supported.
v0.1.0
Initial release: Provides statistical analysis for a specified column in a CSV file.
- Automatically detects column type (numeric or string).
- For numeric columns: calculates max, min, and average values.
- For string columns: reports the count of unique values.
- Command-line interface with support for file path, column name, and debug mode.
- Requires the CSV file to contain headers.
元数据
常见问题
Mini Analysis Column 是什么？
统计分析csv文件中某一列的表现. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 80 次。
如何安装 Mini Analysis Column？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install mini-analysis-column」即可一键安装，无需额外配置。
Mini Analysis Column 是免费的吗？
是的，Mini Analysis Column 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Mini Analysis Column 支持哪些平台？
Mini Analysis Column 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 Mini Analysis Column？
由 fdmseven（@fdmseven）开发并维护，当前版本 v0.1.1。
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