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 AndyZhuang/Opentest --skill visualizationgit clone --depth 1 https://github.com/AndyZhuang/OpentestWrote 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/andyzhuang/opentest/visualization)<a href="https://agentmods.dev/skills/andyzhuang/opentest/visualization"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/visualization/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/andyzhuang/opentest/visualization"><img src="https://agentmods.dev/badge/skills/andyzhuang/opentest/visualization.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 | $0.00000 | $0.00508 |
| Opus 5 | $0.00000 | $0.00254 |
| Sonnet 5 | $0.00000 | $0.00102 |
| Haiku 4.5 | $0.00000 | $0.00051 |
Grade A, and why
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 8d 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.
What it actually says
Scientific Visualization
Overview
Publication-quality scientific figure generation. GENERAL: language-agnostic (R, Python, Julia, or any tool).
Aesthetic System (ScienceClaw Standard)
Palette Selection
| Group Count | Recommended Palette |
|---|---|
| 2-5 groups | NPG or Lancet |
| 6-12 groups | Paired |
| >12 groups | colorRampPalette |
| Diverging data | RdBu |
| Sequential data | viridis |
| Up/Down/NS | "#E64B35" / "#4DBBD5" / "#999999" |
Journal Figure Sizing
| Format | Width | Height | Base Size | DPI |
|---|---|---|---|---|
| Single column | 8.5 cm | 7 cm | 11 pt | 300 |
| 1.5 column | 12 cm | 9 cm | 12 pt | 300 |
| Double column | 17.5 cm | 10 cm | 13 pt | 300 |
| PPT | 25 cm | 18 cm | 16 pt | 150 |
Theme Rules
- Clean, minimal. No unnecessary gridlines.
- theme_classic() or theme_bw() as starting points (R) / white background in matplotlib
- Consistent margins across all figures in a project
- Arial or Helvetica font family
Code Rules
- Adjustable parameters at the TOP of every script
- Return the plot object (don't hardcode file saving)
- Output formats: PNG (300+ dpi), PDF (vector), SVG
Chart Type Guide
- Distribution: boxplot, violin, density, histogram, jitter
- Comparison: barplot, grouped bar, dotplot, radar
- Correlation: scatter, correlation matrix, bubble
- Composition: pie, ring, Venn, UpSet, stacked bar
- Genomics: volcano, Manhattan, Q-Q, GSEA, UMAP/tSNE, heatmap
- Survival: Kaplan-Meier, Cox forest plot
- Network: Sankey, chord, network graph
- Spatial: spatial transcriptomics, geographic
35 Detailed Chart Skill References
Available in mcp-servers/visualization/skills/ — one .md file per chart type with full aesthetic guidelines, data requirements, and code examples.
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.
- 8d ago First seen · 49 lines · 0 tokens per session scan A dbedc08b79b8
visualization is a skill published in the GitHub repository AndyZhuang/Opentest (22 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 508 tokens. 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 2026-09-03.
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