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/leonardodalinky/scider/scientific-visualizationnpx skills add leonardodalinky/SciDER --skill scientific-visualizationgit clone --depth 1 https://github.com/leonardodalinky/SciDERWrote 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/leonardodalinky/scider/scientific-visualization)<a href="https://agentmods.dev/skills/leonardodalinky/scider/scientific-visualization"><img src="https://agentmods.dev/badge/skills/leonardodalinky/scider/scientific-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 5.1 | $0.00048 | $0.05112 |
| Opus 5 | $0.00024 | $0.02556 |
| Sonnet 5 | $0.00010 | $0.01022 |
| Haiku 4.5 | $0.00005 | $0.00511 |
Grade A, and why
scientific-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 6d 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 — 565 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scientific Visualization
Overview
Publication figures are permanent artifacts of a paper. A poorly formatted figure with unlabeled axes, inaccessible colors, or missing uncertainty estimates can cause rejection or mislead readers. This skill specifies the exact standards for producing figures that satisfy journal requirements, remain readable in black-and-white and for colorblind readers, and communicate uncertainty honestly.
When to Use This Skill
Use this skill when:
- Creating any figure that will appear in a paper, preprint, or technical report
- Choosing between plot types for a dataset
- Setting up matplotlib style for a project
- Adding error bars, confidence bands, or statistical significance annotations
- Saving figures in the correct format and resolution
- Designing multi-panel layouts for a results section
- Verifying that figures are accessible to colorblind readers
Figure Specifications for Publication
Resolution and Format
| Use Case | Format | DPI | Notes |
|---|---|---|---|
| Primary figures | PDF or SVG | Vector (infinite) | Preferred for line plots, bar charts, scatter — scales losslessly |
| Photographs / microscopy | TIFF or PNG | ≥ 300 dpi | TIFF preferred for medical/bio journals |
| Web / preprint only | PNG | ≥ 150 dpi | Acceptable but not for camera-ready submission |
Rule: always produce a vector version (PDF/SVG) alongside any raster export.
Figure Width
Match journal column width exactly. Common standards:
| Layout | Width |
|---|---|
| Single column | 3.3–3.5 inches (84–89 mm) |
| 1.5 column | 5.0–5.5 inches |
| Double column / full width | 6.5–7.0 inches (165–178 mm) |
Check the author guide for the target journal; many specify mm.
Font Sizes (Minimum)
| Element | Minimum Size |
|---|---|
| Tick labels | 8 pt |
| Axis labels | 10 pt |
| Legend text | 8 pt |
| Subplot titles | 10 pt |
| Figure title | 12 pt |
| Annotations / significance stars | 8 pt |
What ships with it
1 file 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.
- 6d ago First seen · 565 lines · 48 tokens per session scan A eedb1283f841
scientific-visualization is a skill published in the GitHub repository leonardodalinky/SciDER (88 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 48 tokens to every session and 5,112 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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