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 aristoteleo/PantheonOS --skill figure_stylinggit clone --depth 1 https://github.com/aristoteleo/PantheonOSWrote 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/aristoteleo/pantheonos/figure_styling)<a href="https://agentmods.dev/skills/aristoteleo/pantheonos/figure_styling"><img src="https://agentmods.dev/badge/skills/aristoteleo/pantheonos/figure_styling/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/aristoteleo/pantheonos/figure_styling"><img src="https://agentmods.dev/badge/skills/aristoteleo/pantheonos/figure_styling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00041 | $0.00862 |
| Opus 5 | $0.00020 | $0.00431 |
| Sonnet 5 | $0.00008 | $0.00172 |
| Haiku 4.5 | $0.00004 | $0.00086 |
Grade A, and why
Figure Styling Skills Index 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 9d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figure Styling
General scientific figure styling skill for default agents and graph-generation tasks.
This skill has two layers:
- OutputType recipes — self-contained recipes for default-agent use (
SKILL.md+ one recipe file). - Optional style guides — venue- or aesthetic-specific refinement, loaded only when requested.
Lightweight read rule: For normal use, read only this SKILL.md and one outputType recipe. Do not load styles/, quality/, input/, or triage/ unless explicitly needed.
Route by outputType
| outputType | Read | Rendering mode | Use for |
|---|---|---|---|
figure |
figure.md |
code-first | paper figures, data plots, multi-panel figures |
poster |
poster.md |
mixed | academic posters |
graphical-abstract |
graphical-abstract.md |
AI-first | graphical abstracts, TOC figures |
presentation |
presentation.md |
mixed | slide visuals |
flowchart |
flowchart.md |
AI-first | workflow diagrams, process diagrams |
Optional style guides
Read these only when the user explicitly requests a venue/style or a style_id is provided.
If a listed file is not present, continue with the outputType recipe and report the missing file.
| style_id | File | Use for |
|---|---|---|
neurips_diagram |
styles/neurips_diagram.md |
ML methodology diagrams (NeurIPS / ICML / ICLR / CVPR) |
neurips_plot |
styles/neurips_plot.md |
ML/statistical plots (NeurIPS / ICML / ICLR / CVPR) |
nature_figure |
styles/nature_figure.md |
Nature / Cell / Science-style scientific figures |
ieee_figure |
styles/ieee_figure.md |
IEEE journal / conference figures |
color_palettes |
styles/color_palettes.md |
Colorblind-safe palette reference (Paul Tol) |
Scientific visual language
Use concrete visual schemas instead of generic scientific prompts.
Prefer:
- Flat vector scientific illustration
- Clean white or very light background
- Short accurate labels
- Explicit entities and connections
- Editable-looking vector composition
- Journal-grade readability
- Clear module hierarchy
- Restrained scientific palette
What ships with it
10 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.
- 9d ago First seen · 93 lines · 41 tokens per session scan A c56395bcbe0c
Figure Styling Skills Index is a skill published in the GitHub repository aristoteleo/PantheonOS (484 stars, last pushed today), licensed BSD-2-Clause. It adds 41 tokens to every session and 862 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.
Other skills, from other repositories
scientific-visualization
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick…
paper-banana
Academic diagram and workflow aesthetic evolution engine.
bio-data-visualization-color-palettes
Select colormaps and qualitative palettes for scientific figures using perceptual-uniformity, color-vision-deficiency safety, and luminance-monotonicity criteria. Covers Crameri scientific colormaps, viridis/cividis/magma, Okabe-Ito categorical, ColorBrewer, and the rainbow/jet critique. Use when choosing palettes for…
latex-posters
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.
scientific-slides
Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and…
scientific-visualization
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick…