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 Boom5426/Nature-Paper-Skills --skill nature-figuregit clone --depth 1 https://github.com/Boom5426/Nature-Paper-SkillsWrote 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/boom5426/nature-paper-skills/nature-figure)<a href="https://agentmods.dev/skills/boom5426/nature-paper-skills/nature-figure"><img src="https://agentmods.dev/badge/skills/boom5426/nature-paper-skills/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/boom5426/nature-paper-skills/nature-figure"><img src="https://agentmods.dev/badge/skills/boom5426/nature-paper-skills/nature-figure.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 | $0.00332 | $0.02084 |
| Opus 5 | $0.00166 | $0.01042 |
| Sonnet 5 | $0.00066 | $0.00417 |
| Haiku 4.5 | $0.00033 | $0.00208 |
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 7d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nature Figure Making — Router
This skill is split into two layers:
- A static layer under
static/that holds versioned, reusable content fragments (the figure contract and default stance, plus a per-backend quick-start for Python and R). - A dynamic layer (this file plus
manifest.yaml) that detects the plotting backend and loads only the fragment needed for the current job. The large design, API, pattern, and QA material lives in on-demand references.
Do not try to apply the figure logic from memory or from this router. Always load fragments from disk as described below.
Routing protocol
Follow these steps every time the skill is invoked.
0. Check for the OpenRouter AI-schematic route
If the user explicitly asks to generate a manuscript schematic, graphical abstract, mechanism diagram, concept illustration, or paper schematic with OpenRouter, GPT Image 2, an image-generation API, or similar wording, do not ask "Python or R?". This is a non-plotting AI-schematic route.
For this route:
- Read manifest.yaml and the
always_loadfiles. - Read references/openrouter-image-generation.md.
- Use scripts/generate_openrouter_schematic.py when the user wants a real API call or a reproducible payload.
- Treat output as a draft schematic / graphical abstract, not as a quantitative data panel. Do not invent experimental values, author logos, institutional marks, or unsupported mechanisms.
Only continue to the Python/R backend gate for plotting, charting, data visualization, or manuscript figure assembly tasks that are not explicit OpenRouter AI image-generation requests.
1. Load the manifest and the core layer
Read manifest.yaml. It declares the backend axis, the allowed values, and the file paths each value maps to.
Also read every file listed under always_load (static/core/contract.md and static/core/stance.md). These hold the figure contract, the backend gate, the missing-runtime rule, the privacy rule, and the default operating stance that apply to every figure job.
What ships with it
36 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.
- evals/evals.json 2.1 KB
- manifest.yaml 7.5 KB
- README_EN.md 2.5 KB
- README.md 20 KB
- references/ai-graphical-abstract-workflow.md 6.8 KB
- references/api.md 16 KB
- references/asset-adaptation.md 6.2 KB
- references/backend-selection.md 5.0 KB
- references/chart-types.md 9.1 KB
- references/common-patterns.md 12 KB
- references/demos.md 4.2 KB
- references/design-theory.md 19 KB
- references/figure-contract.md 3.9 KB
- references/figure-delivery-bundle.md 18 KB
- references/figure-legend-conventions.md 3.5 KB
- references/multipanel-evidence-architecture.md 13 KB
- references/nature-2026-observations.md 5.5 KB
- references/nature-article-requirements.md 6.5 KB
- references/openrouter-image-generation.md 4.2 KB
- references/qa-contract.md 7.2 KB
- references/r-template-index.md 3.8 KB
- references/r-workflow.md 5.2 KB
- references/tutorials.md 27 KB
- scripts/audit_figure_collisions.py 37 KB runs code
- scripts/audit_panel_alignment.py 48 KB runs code
- scripts/audit_pdf_text.py 30 KB runs code
- scripts/figure_safety.py 16 KB runs code
- scripts/figure_source_data.py 22 KB runs code
- scripts/generate_openrouter_schematic.py 8.9 KB runs code
- scripts/nature_figure_backend.py 2.6 KB runs code
- scripts/validate_figure.py 43 KB runs code
- static/core/contract.md 3.4 KB
- static/core/stance.md 3.9 KB
- static/fragments/backend/python.md 3.2 KB
- static/fragments/backend/r.md 3.6 KB
- THIRD_PARTY_NOTICES.md 2.5 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.
- 7d ago Changed · +4 lines fd4cc12101f6
- 13d ago First seen · 82 lines · 332 tokens per session scan A 8c9ab4a5b95a
nature-figure is a skill published in the GitHub repository Boom5426/Nature-Paper-Skills (490 stars, last pushed 7d ago), licensed MIT. It adds 332 tokens to every session and 2,084 once invoked, about $0.0017 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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