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 skills/medy-gribkov/arcana/data-visualizationnpx skills add medy-gribkov/arcana --skill data-visualizationgit clone --depth 1 https://github.com/medy-gribkov/arcanaWrote 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/medy-gribkov/arcana/data-visualization)<a href="https://agentmods.dev/skills/medy-gribkov/arcana/data-visualization"><img src="https://agentmods.dev/badge/skills/medy-gribkov/arcana/data-visualization.svg" alt="Measured on agentmods" 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 | $0.00035 | $0.03840 |
| Opus 5 | $0.00017 | $0.01920 |
| Sonnet 5 | $0.00007 | $0.00768 |
| Haiku 4.5 | $0.00003 | $0.00384 |
Grade A, and why
data-visualization 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 4d 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 — 509 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Visualization
Build accessible, performant data visualizations using modern libraries. Choose the right chart type, implement responsive layouts, and optimize for large datasets.
Chart Type Selection
Choose charts based on data relationships, not aesthetics.
BAD - Wrong chart for the task:
// Pie chart for comparing 12 categories - hard to compare angles
<PieChart width={400} height={400}>
<Pie data={monthlyData} dataKey="value" nameKey="month" />
</PieChart>
// Line chart for categorical data with no time relationship
<LineChart data={productCategories}>
<Line dataKey="sales" />
</LineChart>
GOOD - Chart matches data structure:
// Bar chart for category comparison - easy to compare lengths
<BarChart width={600} height={400} data={monthlyData}>
<CartesianGrid strokeDasharray="3 3" />
<XAxis dataKey="month" />
<YAxis />
<Tooltip />
<Bar dataKey="value" fill="#d4943a" />
</BarChart>
// Scatter plot for correlation analysis
<ScatterChart width={600} height={400}>
<CartesianGrid />
<XAxis dataKey="age" name="Age" />
<YAxis dataKey="salary" name="Salary" />
<Scatter data={employees} fill="#d4943a" />
</ScatterChart>
Chart selection guide:
- Bar/Column: Compare categories, rankings, discrete values
- Line: Time series, trends over continuous periods
- Scatter: Correlation between two variables, clustering
- Heatmap: Patterns in 2D categorical data (day/hour traffic)
- Area: Cumulative values over time, part-to-whole relationships
- Avoid pie charts: Use bar charts instead (easier comparison)
Recharts Implementation
Recharts provides React-native declarative charts with built-in responsiveness.
BAD - Fixed dimensions, no accessibility:
function SalesChart({ data }) {
return (
<LineChart width={800} height={300} data={data}>
<Line dataKey="sales" stroke="red" />
<Line dataKey="profit" stroke="green" />
</LineChart>
);
}
GOOD - Responsive, accessible, properly labeled:
import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer } from 'recharts';
interface DataPoint {
date: string;
sales: number;
profit: number;
}
interface SalesChartProps {
data: DataPoint[];
}
const SalesChart: React.FC<SalesChartProps> = ({ data }) => {
return (
<ResponsiveContainer width="100%" height={400}>
<LineChart
data={data}
margin={{ top: 5, right: 30, left: 20, bottom: 5 }}
aria-label="Sales and profit trend over time"
>
<CartesianGrid strokeDasharray="3 3" stroke="#333" />
<XAxis
dataKey="date"
stroke="#666"
tick={{ fill: '#666' }}
/>
<YAxis
stroke="#666"
tick={{ fill: '#666' }}
label={{ value: 'USD', angle: -90, position: 'insideLeft' }}
/>
<Tooltip
contentStyle={{ backgroundColor: '#1a1a1a', border: '1px solid #333' }}
formatter={(value: number) => `$${value.toLocaleString()}`}
/>
<Legend />
<Line
type="monotone"
dataKey="sales"
stroke="#3b82f6"
strokeWidth={2}
dot={{ fill: '#3b82f6', r: 4 }}
activeDot={{ r: 6 }}
name="Sales"
/>
<Line
type="monotone"
dataKey="profit"
stroke="#d4943a"
strokeWidth={2}
dot={{ fill: '#d4943a', r: 4 }}
name="Profit"
/>
</LineChart>
</ResponsiveContainer>
);
};
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.
- 4d ago First seen · 509 lines · 35 tokens per session scan A eb78a971c170
data-visualization is a skill published in the GitHub repository medy-gribkov/arcana (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 3,840 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 2026-08-31.
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