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.
Install
# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)
dsh plugin --profile web add github:ClaireXi99/dsh-data-insight
Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time. Only install sources you trust, and pin a commit (github:owner/repo#sha).
README
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
Links
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