data-visualization-tool
Build Charts in DBX Studio
Turning raw query results into the right chart can take repeated setup. This skill guides Claude, Codex, and Claude Code to choose chart types, write SELECT queries, and call DBX Studio chart generation.
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Review the Skillstore skill "data-visualization-tool" from https://skillstore.io/skills/dbxstudio-data-visualization-tool.md and its manifest at https://skillstore.io/api/skills/dbxstudio-data-visualization-tool/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
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Test it
Using "data-visualization-tool". Show revenue by product category.
Expected outcome:
The assistant recommends a bar chart with category labels on the x-axis, revenue on the y-axis, and a grouped revenue query.
Using "data-visualization-tool". Show order volume for the last 30 days.
Expected outcome:
The assistant recommends a line chart using daily totals, a title that includes the date range, and readable date labels.
Using "data-visualization-tool". Show the share of orders by status.
Expected outcome:
The assistant recommends a pie chart when there are seven or fewer statuses and groups extra statuses as Other.
Security Audit
SafeAll static command-execution alerts are false positives caused by Markdown inline code and fenced JSON or SQL examples in SKILL.md. The system-reconnaissance alert is also a false positive because the cited line only advises aggregating chart data before visualization.
Risk Factors
⚙️ External commands (21)
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<iframe src="https://skillstore.io/embed/skills/dbxstudio-data-visualization-tool.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
Dbxstudio. (2026). data-visualization-tool security audit report (audit version 4) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dbxstudio-data-visualization-tool/audits/4BibTeX citation
@techreport{dbxstudio-dbxstudio-data-visualization-tool-2026,
author = {Dbxstudio},
title = {data-visualization-tool security audit report (audit version 4)},
institution = {Skillstore},
year = {2026},
number = {4},
url = {https://skillstore.io/skills/dbxstudio-data-visualization-tool/audits/4},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-visualization-tool security audit report (audit version 4)"
version: "unspecified"
type: report
authors:
- name: "Dbxstudio"
date-released: "2026-07-06"
url: "https://skillstore.io/skills/dbxstudio-data-visualization-tool/audits/4"
identifiers:
- type: other
value: "skillstore:dbxstudio-data-visualization-tool:audit:4"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Compare Category Performance
Build a bar chart from grouped query results to compare products, regions, or segments.
Track Trends Over Time
Create line or area charts that summarize activity across days, weeks, or months.
Prepare Clean Dashboard Inputs
Aggregate query results before charting so dashboards stay readable and efficient.
Try These Prompts
Create a bar chart that compares total revenue by product category. Use clear axis labels and a short title.
I need to show customer growth over the last 12 months. Choose the best chart type and explain the title and axes.
Create a line chart for daily order volume during the last 30 days. Use aggregated results and readable date labels.
Plan charts for revenue, order count, and status share in one dashboard. Select chart types, queries, labels, and aggregation levels.
Best Practices
- Aggregate data before charting to reduce noise and improve performance.
- Use chart titles that include the metric and time period when relevant.
- Limit pie charts to seven slices and group smaller categories as Other.
Avoid
- Do not chart raw row-level data when an aggregate view answers the question.
- Do not use pie charts for many categories or precise comparisons.
- Do not keep raw column names when human-readable axis labels are available.