Data analysis
Skill yrris/pro-agent/cognition/runtime/skills/data-analysis
多智能体应用与任务执行平台
npx -y skills add yrris/pro-agent --skill data-analysisAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 23 stars23 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
用 DuckDB 分析用户上传的 CSV/JSON 数据文件（概览统计或执行 SQL 查询），产出结果文件。
SKILL.md
1.4 KB, as published. Nobody here has run it
数据分析（DuckDB）
分析用户本轮上传的数据文件（CSV/JSON）。上传的文件名见消息中的〔用户上传附件〕注记。
用法
调用 script_runner：
script_runner(
skill="data-analysis",
script="analyze.py",
input_files=["sales.csv"], # 用户上传附件的文件名（必填）
script_args={
"files": ["sales.csv"], # 参与分析的文件（同 input_files）
"mode": "summary", # summary=概览（默认）| query=执行 SQL
"sql": "SELECT 类别, SUM(金额) FROM sales GROUP BY 类别" # mode=query 时必填
}
)
- 视图名 = 文件名去扩展名（
sales.csv→ 表sales；含特殊字符时用双引号包裹）。 mode=summary：每个文件输出行数、列名/类型、数值列统计（min/max/avg）、前 5 行样例。mode=query：执行任意 DuckDB SQL（SELECT），结果写result.csv；同时产出analysis.md报告。- 仅支持 CSV/JSON；Excel 请让用户转存 CSV 后再传。
产出
analysis.md：可读的分析报告（自动登记为可下载产物）。result.csv：query 模式的结果数据。
先跑 summary 了解数据结构，再写 SQL——不要凭空猜列名。