chart-image-generator

chart-image-generator is a skill for Claude Code, Codex from wentorai/research-plugins. It costs 12 tokens per session (2,136 once invoked), scanned A, original, MIT.

A guide for creating publication-quality charts from research data. It explains journal requirements such as image resolution, file formats, readable text, and accessible colours, using Python plotting libraries.

In plain words
What is it for?
Creating scatter plots, bar charts, line charts, box plots, violin plots, heatmaps, forest plots, survival curves, and multi-panel research figures.
Why use it?
It reduces the manual formatting needed to make figures consistent and suitable for academic publication.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/wentorai/research-plugins/chart-image-generator
Any agent
npx skills add wentorai/research-plugins --skill chart-image-generator
Clone the repo
git clone --depth 1 https://github.com/wentorai/research-plugins

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.

agentmods badge for chart-image-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/wentorai/research-plugins/chart-image-generator.svg)](https://agentmods.dev/skills/wentorai/research-plugins/chart-image-generator)
Your own site
<a href="https://agentmods.dev/skills/wentorai/research-plugins/chart-image-generator"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/chart-image-generator.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,136 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00012 $0.02136
Opus 5 $0.00006 $0.01068
Sonnet 5 $0.00002 $0.00427
Haiku 4.5 $0.00001 $0.00214

Measured 5d ago against content hash 2ed6d26446e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

chart-image-generator 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 5d 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.

skills/analysis/dataviz/chart-image-generator/SKILL.md · 230 lines

How it starts

The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chart Image Generator

A skill for generating publication-quality chart images from research data using Python visualization libraries. Covers chart type selection, styling for academic journals, multi-panel layouts, color accessibility, and export at the correct resolution and format for submission.

Overview

Creating figures for academic publications requires more than just plotting data. Journals have specific requirements for resolution (typically 300-600 DPI), file format (TIFF, EPS, PDF, or high-resolution PNG), font sizes (often 8-12pt in the final printed figure), line weights, and color accessibility. This skill automates the production of figures that meet these standards, reducing the time researchers spend on manual formatting and ensuring consistency across all figures in a manuscript.

The skill supports common chart types used in academic research: scatter plots, bar charts, line plots, box plots, violin plots, heatmaps, forest plots, Kaplan-Meier curves, and multi-panel composite figures. All examples use matplotlib and seaborn with a custom academic styling configuration.

Academic Figure Styling

Journal-Ready Style Configuration

import matplotlib.pyplot as plt
import matplotlib as mpl

def set_academic_style():
    """
    Configure matplotlib for publication-quality figures.
    Matches common requirements for Nature, Science, PLOS, IEEE journals.
    """
    plt.rcParams.update({
        # Font settings
        'font.family': 'sans-serif',
        'font.sans-serif': ['Arial', 'Helvetica', 'DejaVu Sans'],
        'font.size': 8,
        'axes.titlesize': 9,
        'axes.labelsize': 8,
        'xtick.labelsize': 7,
        'ytick.labelsize': 7,
        'legend.fontsize': 7,

        # Line and marker settings
        'lines.linewidth': 1.0,
        'lines.markersize': 4,
        'axes.linewidth': 0.5,
        'xtick.major.width': 0.5,
        'ytick.major.width': 0.5,

        # Grid and background
        'axes.grid': False,
        'axes.facecolor': 'white',
        'figure.facecolor': 'white',

        # Legend
        'legend.frameon': False,
        'legend.borderpad': 0.3,

        # Save settings
        'savefig.dpi': 300,
        'savefig.bbox': 'tight',
        'savefig.pad_inches': 0.05,

        # Use Type 1 fonts for EPS/PDF (required by many journals)
        'pdf.fonttype': 42,
        'ps.fonttype': 42,
    })

# Common journal figure widths (in inches):
SINGLE_COLUMN = 3.5   # ~89mm (Nature, Science, PLOS)
DOUBLE_COLUMN = 7.0   # ~178mm
ONE_AND_HALF = 5.5    # ~140mm

Read the full file on GitHub · 230 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. 5d ago First seen · 230 lines · 12 tokens per session scan A 2ed6d26446e2

Subscribe to this mod's changes

chart-image-generator is a skill published in the GitHub repository wentorai/research-plugins (287 stars, last pushed 2mo ago), licensed MIT. It adds 12 tokens to every session and 2,136 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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