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.

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

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, distributions
  • detect_anomalies — IQR and z-score outlier detection on numeric columns
  • summarize_data — Structured overview with quality issues and next-step suggestions
  • query_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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