Skills scientific-visualization

📦

scientific-visualization

Name: scientific-visualization
Author: davila7

Content revision r1 Safe 🌐 Network access📁 Filesystem access⚙️ External commands

Create Publication-Ready Scientific Figures

Scientific figures often fail journal checks for size, color, typography, or export format. This skill guides Claude, Codex, and Claude Code through publication-ready plotting workflows.

Supports: Claude Codex Code(CC)

🥇 84 Gold

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request

Review the Skillstore skill "scientific-visualization" from https://skillstore.io/skills/davila7-scientific-visualization.md and its manifest at https://skillstore.io/api/skills/davila7-scientific-visualization/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Agent-readable resources

Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.

Markdown detail GET /skills/davila7-scientific-visualization.md Signed manifest GET /api/skills/davila7-scientific-visualization/manifest Signed lockfile GET /api/skills/davila7-scientific-visualization/lockfile

Test it

Using "scientific-visualization". Create a Nature-style treatment comparison figure from three groups with individual points and summary statistics.

Expected outcome:

A figure plan with a single-column layout, readable labels, individual data points, error bars, significance markers, and PDF export guidance.

Using "scientific-visualization". Review a heatmap that uses a rainbow color map and lacks a colorbar label.

Expected outcome:

A revision checklist that replaces the palette, adds a labeled colorbar, improves tick labels, and verifies grayscale readability.

Using "scientific-visualization". Prepare a four-panel manuscript figure for a cell biology paper.

Expected outcome:

A panel layout with consistent sizing, bold panel labels, shared typography, accessible colors, and TIFF or PDF export recommendations.

Security Audit

Safe

v14 • 7/9/2026 Open versioned report

Most static alerts are false positives from Markdown backticks, dictionary keys, scientific plotting terms, and documentation links. One medium filesystem risk remains because a helper writes a style template to a caller-provided path. I found no prompt injection, credential access, data exfiltration, or unauthorized network behavior.

Files scanned

3,425

Lines analyzed

Review items

False positives ignored

Capability review items (1)

These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.

Medium

scripts/style_presets.py:319

Python file write/append

with open(output_file, 'w') as f:

create_style_template opens caller-provided output_file with write mode, so running it can overwrite local files. The behavior is legitimate, but it is a real filesystem write primitive.

Risk Factors

🌐 Network access (1)

assets/color_palettes.py:35

📁 Filesystem access (1)

scripts/style_presets.py:319

⚙️ External commands (50)

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Audited by: codex View Audit History →

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Open versioned report

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https://skillstore.io/skills/davila7-scientific-visualization/audits/14?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

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Academic citations (APA · BibTeX · CFF)

APA citation

davila7. (2026). scientific-visualization security audit report (audit version 14) [Author version unspecified]. Skillstore. https://skillstore.io/skills/davila7-scientific-visualization/audits/14

BibTeX citation

@techreport{davila7-davila7-scientific-visualization-2026,
  author = {davila7},
  title = {scientific-visualization security audit report (audit version 14)},
  institution = {Skillstore},
  year = {2026},
  number = {14},
  url = {https://skillstore.io/skills/davila7-scientific-visualization/audits/14},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "scientific-visualization security audit report (audit version 14)"
version: "unspecified"
type: report
authors:
  - name: "davila7"
date-released: "2026-07-09"
url: "https://skillstore.io/skills/davila7-scientific-visualization/audits/14"
identifiers:
  - type: other
    value: "skillstore:davila7-scientific-visualization:audit:14"
    description: "Skillstore immutable audit report identifier"

Compare variants

2 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Highest Skillstore Score

Author / source Skillstore Score Evidence Confidence Skillstore usage Updated

davila7 Recommended Current

davila7-scientific-visualization

Skillstore Score 84

Evidence Confidence High

Skillstore usage 44

Updated

2026-08-21

K-Dense-AI

k-dense-ai-scientific-visualization

Skillstore Score 38

Evidence Confidence Medium

Skillstore usage 136

Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High

Architecture

Maintainability

Content

Community

Spec Compliance

What You Can Build

Prepare Manuscript Figures

Convert draft plots into figures with journal sizes, readable labels, and correct export formats.

Standardize Lab Plot Styling

Apply consistent fonts, palettes, panel labels, and file formats across a research group.

Improve Accessible Data Graphics

Replace weak color choices with colorblind-safe palettes and redundant encodings.

Try These Prompts

Make a Basic Figure

Use this skill to plan a publication-ready line plot. Target journal: [journal]. Data columns: [columns]. Include size, labels, palette, and export format.

Format an Existing Plot

Review my current figure description for publication quality. Identify problems with fonts, colors, units, legends, resolution, and export settings.

Design a Multi-Panel Figure

Design a multi-panel scientific figure for [study topic]. Include panel order, plot types, shared styling, accessibility checks, and journal-ready export settings.

Audit Journal Compliance

Audit this figure plan against [journal] requirements. Check dimensions, typography, palette, grayscale readability, error bars, statistics, and file formats.