ClaireXi99/dsh-data-insight

Data analysis toolkit for DeepSeek Harness — CSV profiling, anomaly detection, and data summarization

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What it does

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.

Best for

  • Analysts who need quick profiling of CSV, TSV, or supported object-array JSON files.
  • Data-quality workflows that need missing-value statistics, distributions, and structured issue summaries.
  • Code-free exploratory analysis using filters, grouping, aggregation, and IQR or z-score anomaly detection.

Not ideal for

  • Files outside CSV, TSV, or the documented JSON array, `{data: [...]}`, and `{results: [...]}` structures.
  • Workflows centered on visual dashboards or chart authoring rather than profiling, querying, summarization, and anomaly detection.
  • Analyses that already require custom statistical models or bespoke code beyond the provided filter, group, aggregate, IQR, and z-score operations.

README

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

Frequently Asked QuestionsFAQ

Use the verified command dsh plugin --profile default add github:ClaireXi99/dsh-data-insight in a DSH-enabled shell. The command resolves the public package metadata and keeps the plugin attached to the catalog identity shown on this page.

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