ClaireXi99/dsh-data-insight

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.

dsh-data-insight is a data-analysis toolkit that works inside an agent session: drop a CSV and get instant profiling, anomaly detection and queryable insights without leaving the chat. profile_data reports column types, missing values, statistics and distributions; detect_anomalies runs IQR and z-score outlier detection on numeric columns; summarize_data produces a structured overview with quality issues and next-step suggestions; query_data filters, groups and aggregates without writing code. Supported formats are CSV, TSV, and JSON (arrays of objects or {data:[...]}/{results:[...]} wrappers).

Tools & Capabilities ★ 1 updated 2026-08-17
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Install

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

README EN verified 2026-09-02 (repo ClaireXi99/dsh-data-insight, MIT). Install per README: dsh plugin add github:ClaireXi99/dsh-data-insight. Local dev uses dsh web --patch ./dev/cordis.yml. The four tools are model-callable after install.

Compatibility

DSH profile-agnostic tool plugin (tools register for the agent); reads CSV/TSV/JSON from the workspace.

Details

Recent updates

profile_data (types/missing/stats/distributions); detect_anomalies (IQR + z-score); summarize_data (quality issues + next steps); query_data (filter/group/aggregate); CSV/TSV/JSON.

FAQ

What can I ask the agent to do with it?
Profile a CSV, detect anomalies in a numeric column, summarize a dataset, or query rows with filters and grouping — all through the four tools without writing code.
Which file formats are supported?
CSV (comma-separated), TSV (tab-separated), and JSON (array of objects, or {data:[...]}/{results:[...]} wrappers).
How is it installed?
dsh plugin add github:ClaireXi99/dsh-data-insight; after install the tools are available to the agent automatically.

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