dsh-data-insight

by ClaireXi99

工具与能力github 检测到 manifest package.json#dsh 社区精选 收录于 08-17

数据分析工具箱:CSV/TSV/JSON 剖析、IQR 与 z-score 异常检测、带质量问题的结构化摘要,以及免代码的筛选/分组/聚合查询

Data analysis toolkit: CSV/TSV/JSON profiling, IQR and z-score anomaly detection, structured summarization with quality issues, and code-free filter/group/aggregate queries.

安装

dsh plugin --profile web add github:ClaireXi99/dsh-data-insight

GitHub 源码安装:首次需按提示配置 allowBuilds 构建授权后重试

安装与环境配置指引、插件开发教程见 DSH 中文社区文档 ↗

安装即在你的机器上以你的权限运行第三方代码——它可读写文件、使用凭据、访问网络,DSH 的工具审批不会为插件代码加沙箱。「检测到 manifest」仅代表发现 dsh.bundle / dsh.plugin 清单,不构成兼容性或安全审查;安装前请审阅源码,不熟悉的插件先在不含密钥的环境试用。

README

目录

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

原始 README: https://github.com/ClaireXi99/dsh-data-insight/blob/main/README.md ↗