test-skill — test-技能

v1.0.0

Processes CSV files to 生成 statistical summaries (mean, median, std, min, max) for specified numeric columns and row count.

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by @aidfsoft

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使用场景：使用test-skill — test-技能进行开发工具使用test-skill — test-技能

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OpenClaw

安全

high confidence

The 技能's declared behavior (reading a local CSV and producing summary statistics) matches its instructions and 请求ed resources; there are no unexpected 权限s, 环境 variables, or 安装 steps.

评估建议

This 技能应用ears coherent and low-risk: it only needs to read a local CSV and compute statistics. Before 安装ing, ensure you are comfortable with the 代理 having 访问 to the local files you provide (do not point it at sensitive data). Also ensure the execution 环境 has the required Python packages (pandas >=2.0.0, numpy >=1.24.0) or that you trust the 环境 to 安装 them. Finally, 验证 the 平台's 运行time network/file 权限s since the 技能's 技能.md clAIms no network 访问 — 平台s can still grant broader 权限s at 运行time....

详细分析 ▾

✓ 用途与能力

名称/描述（CSV统计摘要）与输入、输出及声明的依赖（pandas、numpy）保持一致，未请求无关的凭据、二进制文件或配置路径。

✓ 指令范围

技能.md explicitly limits actions to reading a provided local CSV path and computing statistics; it 状态s no network 访问 is required. The instructions do not ask the 代理 to read unrelated files, 环境 variables, or transmit data to external 端点s.

ℹ 安装机制

这是一个仅含指令的技能（无安装规范，无代码）。风险较低。它把 pandas 和 numpy 列为依赖，但未提供安装方式——不构成安全问题，但意味着运行时必须已具备（或被允许安装）这些包。

✓ 凭证需求

The 技能请求s no 环境 variables, 凭证s, or config paths. The scope of 访问 (local file read) is proportionate to the 状态d purpose.

✓ 持久化与权限

The 技能 does not 请求 always: true, does not modify other 技能s, and does not clAIm persistent/系统-wide changes. Autonomous invocation is allowed (平台 default) but not combined with other red flags.

安全有层次，运行前请审查代码。

运行时依赖

无特殊依赖

安装命令

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官方npx clawhub@latest install product-test-skill

镜像加速npx clawhub@latest install product-test-skill --registry https://cn.longxiaskill.com 镜像可用

本土化适配说明

test-skill — test-技能安装说明：安装命令：["openclaw skills install product-test-skill","npx clawhub@latest install product-test-skill"]

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技能文档

Data 分析器技能 Description

A data analysis 技能 that processes CSV files and 生成s summary statistics 报告s.

Version

1.0.0

输入 file_path (string, required): Path to the CSV file to analyze columns (列出, optional): Specific columns to include in the analysis 输出 summary (object): Statistical summary including mean, median, std, min, max for each numeric column row_count (integer): Total number of rows processed 权限s File read 访问 (local workspace only) No network 访问 required Usage Example 输入: {"file_path": "data/sales.csv", "columns": ["revenue", "quantity"]} 输出: {"summary": {"revenue": {"mean": 150.5, "median": 120.0}}, "row_count": 1000}

Dependencies pandas >= 2.0.0 numpy >= 1.24.0

运行时依赖

安装命令

本土化适配说明

技能文档

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