Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.
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Low-risk findings worth noting
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The /create-viz runtime workflow ingests free-text from the outsider user via the “argument-hint”/command input (“/create-viz <data source> [chart type] [additional instructions]”) and then uses that content as data source/instructions for generating Python visualizations.
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