ClaireXi99/dsh-data-insight
Data analysis toolkit for DeepSeek Harness — CSV profiling, anomaly detection, and data summarization
项目介绍Project Overview
dsh-data-insight 是 DeepSeek Harness 的数据分析插件,支持 CSV、TSV、JSON 文件,可在会话内完成数据画像、缺失值与分布统计、IQR/z-score 异常检测、质量摘要,以及免代码筛选、分组和聚合查询。适合快速了解表格数据、查找异常或验证数据质量。注意:异常检测基于统计规则,结果需结合业务背景判断。
dsh-data-insight is a data analysis plugin for DeepSeek Harness. It works with CSV, TSV, and JSON files, providing profiling, missing-value and distribution statistics, IQR/z-score anomaly detection, structured summaries, and no-code filtering, grouping, and aggregation. Use it when you need quick dataset understanding, outlier checks, or quality review inside an agent session. Caveat: anomaly results are rule-based and should be interpreted with business context.
请帮我了解并安装插件:【dsh-data-insight】【https://github.com/ClaireXi99/dsh-data-insight】
把上面这条消息直接发给当前会话里的 DSH,让它帮你了解并安装。安装命令不一定准确,发给 DSH 更稳。Send this message to DSH in your current session. CLI install commands may not be accurate across systems — DSH will figure it out for you.
或使用命令行安装(适合开发者)Or use CLI install (for developers)
命令行安装CLI Install
dsh plugin add github:ClaireXi99/dsh-data-insight
把 ClaireXi99/dsh-data-insight 加入你的 DSH 配置(web profile)即可启用。
READMEREADME
dsh-data-insight
Data analysis toolkit for DeepSeek Harness. Drop a CSV and get instant profiling, anomaly detection, and queryable insights — all without leaving your agent session.
Features
profile_data— Column types, missing values, statistics, distributionsdetect_anomalies— IQR and z-score outlier detection on numeric columnssummarize_data— Structured overview with quality issues and next-step suggestionsquery_data— Filter, group, and aggregate without writing code
Install
dsh plugin add github:ClaireXi99/dsh-data-insight
Usage
Once installed, the tools are available to the agent automatically.
> Profile the sales data in ./data/q3_sales.csv
> Detect anomalies in the "revenue" column of report.csv
> Summarize the dataset at ./logs/user_events.json
> Query users.csv where age > 30, group by city, show mean salary
Supported Formats
- CSV (comma-separated)
- TSV (tab-separated)
- JSON (array of objects, or
{data: [...]}/{results: [...]})
Development
git clone https://github.com/ClaireXi99/dsh-data-insight.git
cd dsh-data-insight
npm install
npm run build
npm test
Local dev with DSH
dsh web --patch ./dev/cordis.yml
License
MIT
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