SQL Dataviz

Convert SQL query results into production-grade visual charts including bar, line, pie, map, KPI, AI insights, and interactive HTML dashboards with base64 PN...

This package appears coherent and implements visualization features as described. Before installing: (1) Inspect scripts/install_deps.sh and requirements.txt and run inside a Python virtualenv or container to avoid polluting system packages. (2) Optional dependencies (geopandas, plotly, wordcloud, scipy) can require extra system libraries—only install what you need. (3) Review demo.py and any code that writes to disk so you know where cache/output files will be placed (examples use cache/ and output/). (4) If you plan to use interactive HTML/Canvas templates, note they may load external CDN resources (Chart.js) or require network access. (5) The repository uses placeholder support/contact links (example.com) — treat them as non-authoritative. Overall the skill is internally consistent; standard operational caution (run in isolated environment and review install scripts) is recommended.

Type: OpenClaw Skill Name: sql-dataviz Version: 1.0.1 The `sql-dataviz` skill bundle is a comprehensive and professional data visualization tool designed to convert SQL query results into a wide variety of charts (PNG and interactive HTML). The Python implementation in `charts/__init__.py` and `scripts/interactive_charts.py` utilizes standard, legitimate libraries such as `matplotlib`, `seaborn`, and `plotly` to generate visual reports. The installation script `scripts/install_deps.sh` and the `requirements.txt` file correctly manage standard data science dependencies without any suspicious remote fetches or unauthorized system modifications. No evidence of data exfiltration, malicious code execution, or harmful prompt injection was found; the entire bundle is well-documented and its behavior is strictly aligned with its stated purpose.