generate_publication_figures

generate_publication_figures is a skill for Claude Code, Codex from equinor/neqsim. It costs 18 tokens per session (5,456 once invoked), scanned A, original, Apache-2.0.

A matplotlib workflow for making figures suitable for scientific journal submissions. Matplotlib is a Python library for creating charts, and the workflow enforces consistent styling, readable labels, compact sizing, and high resolution.

In plain words
What is it for?
It is for generating or regenerating paper figures with journal-ready formatting and axis labels using SI units.
Why use it?
It helps avoid common publication problems such as unclear labels, inconsistent formatting, unsuitable fonts, or nonstandard measurement units.

Skill for Claude CodeCodex

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

Good fit It is for generating or regenerating paper figures with journal-ready formatting and axis labels using SI units.

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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 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,456 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00018 $0.05456
Opus 5 $0.00009 $0.02728
Sonnet 5 $0.00004 $0.01091
Haiku 4.5 $0.00002 $0.00546

Measured 10d ago against content hash c9f52cdd2d0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 10d 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.

.github/skills/generate_publication_figures/SKILL.md · 527 lines

How it starts

The opening of the file, as written. The whole thing — 527 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 · 527 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. 10d ago First seen · 527 lines · 18 tokens per session scan A c9f52cdd2d0d

Subscribe to this mod's changes

generate_publication_figures is a skill published in the GitHub repository equinor/neqsim (151 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 5,456 once invoked, about $0.0001 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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