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 niuz257470-ctrl/natureskills --skill nature-figuregit clone --depth 1 https://github.com/niuz257470-ctrl/natureskillsWrote 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/niuz257470-ctrl/natureskills/nature-figure)<a href="https://agentmods.dev/skills/niuz257470-ctrl/natureskills/nature-figure"><img src="https://agentmods.dev/badge/skills/niuz257470-ctrl/natureskills/nature-figure/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/niuz257470-ctrl/natureskills/nature-figure"><img src="https://agentmods.dev/badge/skills/niuz257470-ctrl/natureskills/nature-figure.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 | $0.00142 | $0.02461 |
| Opus 5.5 | $0.00057 | $0.00984 |
| Sonnet 5.5 | $0.00028 | $0.00492 |
| Haiku 4.5 | $0.00014 | $0.00246 |
Grade A, and why
nature-figure 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 2mo 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.
This is a copy
97% identical to nature-figure — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nature Figure Making Skill
A guide for producing publication-quality scientific figures as a visual argument, not as isolated pretty plots. Every figure starts from a claim, an evidence hierarchy, and a review-risk check before code or aesthetics.
The older Python/matplotlib rules in this skill remain valid. The skill now also supports
R, especially ggplot2 + patchwork + ComplexHeatmap + ggrepel + svglite/cairo_pdf + ragg.
If the user provides a private plotting template collection, use it only as an internal
adaptation source and do not reveal its path, filenames, or provenance in user-facing output.
Color policy: prefer unified method families across all panels over maximal hue separation.
For dense Nature Machine Intelligence-style figure pages, use the low-saturation NMI pastel
family described in references/api.md and reserve green/red mainly for gains, drops, and other directional cues.
First move: figure contract before plotting
Before generating or editing code, establish the contract below.
Backend selection is a blocking gate. If the user has not explicitly chosen Python or R in the current request or provided a clearly language-specific input file/workflow, ask one concise question: Python or R? Then stop and wait for the user's answer. Do not generate mock data, write scripts, create figures, or choose Python/R by default. This overrides general autonomy/default-execution behavior for figure tasks.
The selected backend is exclusive for all figure generation. Once Python or R is selected, every plotting script, preview image, SVG/PDF/TIFF/PNG export, QA render, and visual workaround must be produced by that same backend. Do not use Python to draw a preview for an R figure, and do not use R to draw a preview for a Python figure, even if the selected runtime or packages are missing locally. The non-selected language may only be used for non-visual file inspection or data conversion when it does not open a graphics device, import plotting libraries, create image/vector files, or change the final visual appearance.
What ships with it
29 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.
- .gitignore 10 B
- assets/chart-atlas/atlas-01-bar-charts.png 122 KB
- assets/chart-atlas/atlas-02-line-trends.png 414 KB
- assets/chart-atlas/atlas-03-heatmaps.png 156 KB
- assets/chart-atlas/atlas-04-scatter-bubble.png 474 KB
- assets/chart-atlas/atlas-05-radar-polar.png 615 KB
- assets/chart-atlas/atlas-06-distributions.png 228 KB
- assets/chart-atlas/atlas-07-forest-interval.png 264 KB
- assets/chart-atlas/atlas-08-area-stacked.png 327 KB
- assets/chart-atlas/atlas-09-image-plates.png 351 KB
- assets/chart-atlas/atlas-10-network-matrix.png 305 KB
- assets/gallery/fig1-material-mechanism-rich.png 557 KB
- assets/gallery/fig2-spatial-imaging-rich.png 629 KB
- assets/gallery/fig3-in-vivo-efficacy-rich.png 363 KB
- assets/gallery/fig4-single-cell-systems-rich.png 384 KB
- assets/gallery/fig5-validation-perturbation-rich.png 399 KB
- evals/evals.json 2.1 KB
- README.md 20 KB
- references/api.md 13 KB
- references/backend-selection.md 4.6 KB
- references/chart-types.md 8.7 KB
- references/common-patterns.md 9.6 KB
- references/design-theory.md 15 KB
- references/figure-contract.md 3.9 KB
- references/nature-2026-observations.md 5.5 KB
- references/qa-contract.md 4.6 KB
- references/r-template-index.md 3.8 KB
- references/r-workflow.md 5.2 KB
- references/tutorials.md 7.9 KB
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.
- 2mo ago First seen · 186 lines · 142 tokens per session scan A b4fd8daf9b5b
nature-figure is a skill published in the GitHub repository niuz257470-ctrl/natureskills (72 stars, last pushed 5mo ago), licensed MIT. It adds 142 tokens to every session and 2,461 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to nature-figure, differing in 9 lines, and is treated as a copy.
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