What is scienceclaw-aesthetics?

A style guide for making scientific charts and figures clear, consistent, and suitable for publication. It defines color palettes and visual standards for different kinds of data displays.

Use it when designing scientific plots, charts, diagrams, and other research visuals.

It helps researchers choose readable colors and maintain a consistent visual language across figures.

scienceclaw-aesthetics — Skill for Claude Code and Codex by Zaoqu-Liu

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 Zaoqu-Liu/ScienceClaw --skill scienceclaw-aesthetics

Clone the repo

git clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClaw

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/scienceclaw-aesthetics/github.svg)](https://agentmods.dev/skills/zaoqu-liu/scienceclaw/scienceclaw-aesthetics)

Your own site

<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/scienceclaw-aesthetics"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/scienceclaw-aesthetics/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/scienceclaw-aesthetics"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/scienceclaw-aesthetics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,201 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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.01201
Opus 5	$0.00000	$0.00600
Sonnet 5	$0.00000	$0.00240
Haiku 4.5	$0.00000	$0.00120

Measured 9d ago against content hash 83780f1942e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

scienceclaw-aesthetics 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 9d 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/scienceclaw-aesthetics/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ScienceClaw Aesthetics — Publication-Quality Figure Standards

Rachel's aesthetic reference for all visualization work. Use this skill when generating any scientific figure.

Color Palettes

Scientific Journal Palettes (discrete, 2-10 groups)

Name	Colors	Use for
NPG	`#E64B35` `#4DBBD5` `#00A087` `#3C5488` `#F39B7F` `#8491B4` `#91D1C2` `#DC0000` `#7E6148` `#B09C85`	Nature Publishing Group style
Lancet	`#00468B` `#ED0000` `#42B540` `#0099B4` `#925E9F` `#FDAF91` `#AD002A` `#ADB6B6` `#1B1919`	The Lancet style
JCO	`#0073C2` `#EFC000` `#868686` `#CD534C` `#7AA6DC` `#003C67` `#8F7700` `#3B3B3B` `#A73030` `#4A6990`	J Clinical Oncology
NEJM	`#BC3C29` `#0072B5` `#E18727` `#20854E` `#7876B1` `#6F99AD` `#FFDC91` `#EE4C97`	New England J Med
AAAS	`#3B4992` `#EE0000` `#008B45` `#631879` `#008280` `#BB0021` `#5F559B` `#A20056` `#808180` `#1B1919`	Science/AAAS

Qualitative Palettes (6-12 groups)

Name	Colors
Paired	`#A6CEE3` `#1F78B4` `#B2DF8A` `#33A02C` `#FB9A99` `#E31A1C` `#FDBF6F` `#FF7F00` `#CAB2D6` `#6A3D9A` `#FFFF99` `#B15928`
Set1	`#E41A1C` `#377EB8` `#4DAF4A` `#984EA3` `#FF7F00` `#FFFF33` `#A65628` `#F781BF` `#999999`
Dark2	`#1B9E77` `#D95F02` `#7570B3` `#E7298A` `#66A61E` `#E6AB02` `#A6761D` `#666666`

Continuous & Diverging

Type	Options
Sequential	`viridis`, `magma`, `plasma`
Diverging	`RdBu`, `Spectral`, `RdYlBu`

Special Purpose

Name	Colors	Use
Up/Down/NS	Up: `#E64B35`, Down: `#4DBBD5`, NS: `#999999`	Volcano plots, differential expression

Selection Guide

2-5 groups: NPG or Lancet
6-12 groups: Paired
12+ groups: colorRampPalette interpolation
Continuous data: viridis (sequential), RdBu (diverging)

Journal Figure Sizing

Preset	Width	Height	Base Font	DPI	Typical Use
`single_column`	8.5 cm	7 cm	11 pt	300	Most journal figures
`one_half_column`	12 cm	9 cm	12 pt	300	Medium-width figures
`double_column`	17.5 cm	10 cm	13 pt	300	Full-width figures
`ppt`	25 cm	18 cm	16 pt	150	Presentations

Read the full file on GitHub · 72 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.

9d ago First seen · 72 lines · 0 tokens per session scan A 83780f1942e5

Subscribe to this mod's changes

scienceclaw-aesthetics is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,201 tokens. 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 2026-09-03.

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scienceclaw-aesthetics