generate-publication-figures

generate-publication-figures is a skill for Claude Code, Codex from equinor/neqsim. It costs 19 tokens per session (5,467 once invoked), scanned A, a copy of generate_publication_figures, Apache-2.0.

A guide for creating publication-ready scientific charts with Matplotlib, a Python library for making plots. It covers fonts, sizing, labels, styling, image resolution, and required SI units.

In plain words
What is it for?
Use it to create or regenerate paper figures after data or style changes, with readable labels and consistent presentation.
Why use it?
It helps avoid unreadable figures and inconsistent units or formatting when preparing figures for a journal paper.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create or regenerate paper figures after data or style changes, with readable labels and consistent presentation.

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Install with agentmods
npx agentmods add skills/equinor/neqsim/generate-publication-figures
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 equinor/neqsim --skill generate-publication-figures
Clone the repo
git clone --depth 1 https://github.com/equinor/neqsim

Made for: Claude Code, Codex.

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.

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README.md
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Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,467 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 97% copy Near-identical to another mod 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 $0.00019 $0.05467
Opus 5.5 $0.00008 $0.02187
Sonnet 5.5 $0.00004 $0.01093
Haiku 4.5 $0.00002 $0.00547

Measured 27d ago against content hash 31432d64e7c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

generate-publication-figures 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 27d 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.

Origin

This is a copy

97% identical to generate_publication_figures — 2 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.

.github/skills/generate-publication-figures/SKILL.md · 528 lines

How it starts

The opening of the file, as written. The whole thing — 528 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Generate Publication-Quality Figures

Purpose

Create matplotlib figures that meet journal submission standards: correct fonts, compact sizes, consistent styling, readable labels, and high DPI. Based on lessons learned from the CPA and TPflash papers (Fluid Phase Equilibria 2026).

SI Units (MANDATORY)

All figure axis labels MUST use SI units. See PAPER_WRITING_GUIDELINES.md "SI Units (MANDATORY)" for the full reference.

Axis label examples (GOOD) NEVER use
Temperature (K) or $T$ (K) Temperature (°F)
Pressure (kPa) or $P$ (MPa) Pressure (psi) or Pressure (atm)
Density (kg/m³) or $\rho$ (kg/m$^3$) Density (lb/ft³)
Viscosity (mPa·s) Viscosity (cP) — numerically equal but use SI name
Flow rate (kg/s) Flow rate (lb/h)
Energy (kJ/mol) Energy (BTU/lbmol)

"bar" is acceptable for pressure axes in engineering contexts (1 bar = 100 kPa).

When to Use

  • Creating figures for any scientific paper in the paperlab
  • Regenerating figures after data or style revisions
  • Setting up a new 02_generate_figures.py for a paper project

Core Setup (Copy-Paste Starter)

Every figure script should start with this rc configuration:

import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np
import json
from pathlib import Path

# ── Publication-quality defaults ──────────────────────────────────
plt.rcParams.update({
    "font.family": "serif",
    "font.serif": ["Times New Roman", "DejaVu Serif"],
    "font.size": 9,
    "axes.titlesize": 10,
    "axes.labelsize": 9,
    "xtick.labelsize": 8,
    "ytick.labelsize": 8,
    "legend.fontsize": 8,
    "figure.dpi": 300,
    "savefig.dpi": 300,
    "savefig.bbox_inches": "tight",
    "axes.linewidth": 0.6,
    "xtick.direction": "in",
    "ytick.direction": "in",
    "xtick.major.size": 3,
    "ytick.major.size": 3,
    "xtick.minor.size": 1.5,
    "ytick.minor.size": 1.5,
    "grid.linewidth": 0.3,
    "grid.alpha": 0.4,
    "lines.linewidth": 1.0,
    "lines.markersize": 4,
})

# Consistent color palette
BLUE = "#2171b5"
ORANGE = "#e6550d"
GREEN = "#31a354"
GREY = "#636363"
PALETTE = [BLUE, ORANGE, GREEN, "#756bb1", "#e7298a", "#66a61e"]

# Output directory
FIGURES_DIR = Path(__file__).parent.parent / "figures"
FIGURES_DIR.mkdir(exist_ok=True)

Read the full file on GitHub · 528 lines

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. 27d ago First seen · 528 lines · 19 tokens per session scan A 31432d64e7c5

Subscribe to this mod's changes

generate-publication-figures is a skill published in the GitHub repository equinor/neqsim (156 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 5,467 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to generate_publication_figures, differing in 2 lines, and is treated as a copy.

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