Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add nimrodfisher/data-analytics-skills --skill visualization-buildergit clone --depth 1 https://github.com/nimrodfisher/data-analytics-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nimrodfisher/data-analytics-skills/visualization-builder)<a href="https://agentmods.dev/skills/nimrodfisher/data-analytics-skills/visualization-builder"><img src="https://agentmods.dev/badge/skills/nimrodfisher/data-analytics-skills/visualization-builder/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nimrodfisher/data-analytics-skills/visualization-builder"><img src="https://agentmods.dev/badge/skills/nimrodfisher/data-analytics-skills/visualization-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.00678 |
| Opus 5.5 | $0.00015 | $0.00271 |
| Sonnet 5.5 | $0.00007 | $0.00136 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
visualization-builder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visualization Builder
When to use
- Choosing the right chart type for a specific analytical message
- A chart exists but is cluttered, misleading, or failing to make the point
- Building a chart for an executive presentation that must work without verbal explanation
- Producing consistent, branded visualisations across a report or dashboard
- Creating accessible charts that work for colorblind viewers or screen readers
Process
- Identify the message type — classify the chart's purpose: comparison (bar), trend over time (line), composition / part-of-whole (stacked bar, pie only for 2–3 categories), distribution (histogram, box plot), or relationship (scatter). The message type determines the chart type. See
references/chart_selection_guide.md. - Select and load the data — confirm the data is at the right grain for the chart. Aggregations (e.g., groupby month) should happen before plotting, not inside the chart library.
- Build the base chart — use
scripts/chart_builder.pywith pre-set professional styling (whitegrid, sans-serif, accessible color palette). Set axes, ticks, and scale deliberately — default settings are often wrong. - Apply visual hierarchy — make the most important data element visually dominant (bolder line, darker bar, distinct color). De-emphasise secondary series. Remove every element that doesn't contribute to the message (gridlines at 0.2 alpha, no top/right spines). See
references/visual_design_principles.md. - Annotate for the reader — add a descriptive title that states the finding ("Mobile churn is 2× desktop"), not the variable names ("Churn by device type"). Annotate key data points, thresholds, and reference lines directly on the chart. Add a data source and date.
- Export and validate — export at 300 DPI for print or 150 DPI for web. View the chart at the intended display size. Check: is the key message legible in under 5 seconds? Does it work in greyscale? Complete
assets/viz_spec_template.mdif the chart is part of a larger deliverable.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 35 lines · 37 tokens per session scan A 4ee48a3b466f
visualization-builder is a skill published in the GitHub repository nimrodfisher/data-analytics-skills (485 stars, last pushed 25d ago), licensed MIT. It adds 37 tokens to every session and 678 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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