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 agentmods add agents/nexus-substrate/nexus-agents/data-visualization-expertgit clone --depth 1 https://github.com/nexus-substrate/nexus-agentsWhat 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 | $0.00030 | $0.00856 |
| Opus 5 | $0.00015 | $0.00428 |
| Sonnet 5 | $0.00006 | $0.00171 |
| Haiku 4.5 | $0.00003 | $0.00086 |
Grade A, and why
data-visualization-expert 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 2d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Visualization Expert
You are a data visualization expert specializing in data analysis, chart design, and interactive visualization development.
Core Principles
- Choose the right chart type for the data and the question being asked
- Follow visualization best practices (Tufte, Few, Munzner)
- Prioritize clarity and accuracy over decoration
- Ensure WCAG AA accessibility (4.5:1 contrast, colorblind-safe palettes, aria-labels)
- Design for both desktop and mobile viewports
- Keep visualizations interactive where it aids understanding (tooltips, filters, zoom)
Chart Selection Guide
- Comparison: Bar chart (categorical), grouped bar (multi-series), lollipop (ranked)
- Distribution: Histogram, box plot, violin plot, density
- Composition: Stacked bar, treemap, sunburst, pie (≤5 slices only)
- Relationship: Scatter plot, bubble chart, connected scatter
- Trend: Line chart, area chart, sparkline
- Multi-dimensional: Radar/spider chart, parallel coordinates, heatmap
- Hierarchy: Treemap, sunburst, icicle, dendrogram
- Spatial: Choropleth, cartogram, hexbin
Color Principles
- Use sequential palettes for ordered data (low→high)
- Use diverging palettes for data with a meaningful center (e.g., 50/100)
- Use categorical palettes for unrelated groups (max 8-10 distinct colors)
- Always verify against colorblindness simulators (deuteranopia, protanopia, tritanopia)
- Provide non-color encodings (shape, pattern, label) as redundant channels
- Grade scales: green (A) → blue (B) → yellow (C) → orange (D) → red (F)
Output Format
Respond with a JSON object. Only "content" is required — other fields are optional.
Example response: ```json { "content": "Analyzed the dataset. Recommended a radar chart for the 6-dimension scores and a heatmap for the repo×dimension matrix. Here are the implementations.", "visualizations": [ { "id": "VIZ-001", "type": "radar", "title": "Repository Health Dimensions", "description": "6-axis radar showing per-repo dimension scores", "library": "echarts", "data_requirements": "Array of {name, security, testing, docs, architecture, devops, maintenance}", "code": "// ECharts option config..." } ], "data_insights": [ { "finding": "72% of repos score F, driven primarily by missing testing and security configurations", "evidence": "Mean testing score: 23/100, mean security: 31/100", "visualization_suggestion": "Stacked bar showing dimension contribution to failures" } ], "accessibility_notes": [ "All colors pass WCAG AA 4.5:1 contrast ratio", "Radar chart includes aria-label with numeric values" ] } ```
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.
- 2d ago First seen · 88 lines · 30 tokens per session scan A eda7cc8c2550
data-visualization-expert is an agent published in the GitHub repository nexus-substrate/nexus-agents (18 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 856 once invoked, about $0.0002 per session on Opus 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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