nature-figure

nature-figure is a skill for Claude Code from yniantongtian-oss/nature-skills. It costs 149 tokens per session (1,057 once invoked), scanned A, original, MIT.

A workflow for creating and checking publication-ready scientific figures in Python or R, including multi-panel plots and SVG, PDF, or TIFF files. It is aimed especially at papers submitted to Nature-family and other high-impact journals.

In plain words
What is it for?
Use it to create, revise, audit, or polish manuscript figures and prepare them for submission.
Why use it?
It helps turn plots into figures that follow a defined journal-focused standard instead of relying on remembered rules. It also guides the work when the plotting language or required runtime is missing.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the nature-skills plugin — 10 skills, 1 MCP server shipped together

Good fit Use it to create, revise, audit, or polish manuscript figures and prepare them for submission.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yniantongtian-oss/nature-skills/nature-figure
Install

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.

Any agent
npx skills add yniantongtian-oss/nature-skills --skill nature-figure
Clone the repo
git clone --depth 1 https://github.com/yniantongtian-oss/nature-skills

Made for: Claude Code.

Or install nature-skills, the plugin that ships this one along with the rest of its 10 skills, 1 MCP server.

Wrote 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.

agentmods badge for nature-figure

README.md
[![agentmods](https://agentmods.dev/badge/skills/yniantongtian-oss/nature-skills/nature-figure/github.svg)](https://agentmods.dev/skills/yniantongtian-oss/nature-skills/nature-figure)
Your own site
<a href="https://agentmods.dev/skills/yniantongtian-oss/nature-skills/nature-figure"><img src="https://agentmods.dev/badge/skills/yniantongtian-oss/nature-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.

agentmods 80×15 button for nature-figure

Your own site · 80×15
<a href="https://agentmods.dev/skills/yniantongtian-oss/nature-skills/nature-figure"><img src="https://agentmods.dev/badge/skills/yniantongtian-oss/nature-skills/nature-figure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 149 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,057 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00149 $0.01057
Opus 5 $0.00075 $0.00528
Sonnet 5 $0.00030 $0.00211
Haiku 4.5 $0.00015 $0.00106

Measured 12d ago against content hash 8699cee0c047, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 12d ago.

The scan reads SKILL.md. This mod also ships 18 executable files (assets/figures4papers/figure_brainteaser/plot_brute_force.py, assets/figures4papers/figure_brainteaser/plot_correctness_by_category.py, assets/figures4papers/figure_brainteaser/plot_correctness_by_subcategory.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/nature-skills/skills/nature-figure/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 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 five steps every time the skill is invoked.

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.

2. Resolve the backend — a blocking gate

Backend selection blocks everything else. Decide the backend value only from an explicit user choice or a clearly language-specific input file/workflow:

  • python — matplotlib / seaborn.
  • r — ggplot2 / patchwork / ComplexHeatmap.

If the user has not explicitly chosen, ask exactly one concise question — Python or R? — and stop. Do not default, guess, generate mock data, or write scripts before the answer. Only recommend a backend when the user explicitly asks you to choose; then use references/backend-selection.md, state the reason, and proceed. Once selected, the backend is exclusive for all drawing, previewing, exporting, and visual QA (see core/contract.md).

3. Load the matching backend fragment

After the backend is resolved, Read the mapped fragment (static/fragments/backend/python.md or static/fragments/backend/r.md). It carries the backend-only execution rule and the publication quick-start (rcParams/theme and export helper). Do not load the other backend's fragment.

Read the full file on GitHub · 61 lines

Files

What ships with it

60 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.

Changes

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.

  1. 12d ago First seen · 61 lines · 149 tokens per session scan A 8699cee0c047

Subscribe to this mod's changes

nature-figure is a skill published in the GitHub repository yniantongtian-oss/nature-skills (24 stars, last pushed 3mo ago), licensed MIT. It adds 149 tokens to every session and 1,057 once invoked, about $0.0007 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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