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Install in OpenClaw
/install scientific-visualization
Description
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, c...
Usage Guidance
This skill appears coherent and focused on making publication-ready figures. Before installing: (1) review style_presets.py and the remaining script(s) to confirm they only change plotting rcParams and don't execute unexpected system commands; (2) be aware figure export writes files to the current or specified directory—avoid overwriting important files and check output paths; (3) verifying font embedding requires PyPDF2 (optional) if you need that check; install that dependency only from a trusted source; (4) the agent may run this skill autonomously by default (platform behavior) — that is normal here but if you have strict controls, restrict autonomous invocation. If you need extra assurance, run the included scripts in an isolated environment to inspect behavior before granting broader access.
Capability Analysis
Type: OpenClaw Skill
Name: scientific-visualization
Version: 0.1.0
The scientific-visualization skill bundle is a legitimate toolset designed to help researchers create publication-quality figures. The Python scripts (scripts/figure_export.py, scripts/style_presets.py, assets/color_palettes.py) provide standard utilities for matplotlib styling and file exporting, while the documentation (SKILL.md and references/*.md) offers helpful guidance on journal requirements and accessibility. No indicators of malicious intent, data exfiltration, or prompt injection were found.
Capability Assessment
Purpose & Capability
Name/description (publication-quality figures) match the included helpers: color palette module, style presets, and figure export utilities that set DPI, formats, and journal-specific rules.
Instruction Scope
SKILL.md directs the agent to apply styles, create plots, and save files locally using included helpers. Instructions reference only plotting libraries and local file output; they do not instruct reading unrelated system files, environment variables, or contacting external endpoints.
Install Mechanism
No install spec is present (instruction-only install). Code files are included but there is no download-from-URL or package install step. This is low-risk: the skill runs Python code already provided in the bundle.
Credentials
The skill requests no environment variables, credentials, or config paths. Optional runtime hints (e.g., PyPDF2 for font checks) are local and documented; nothing asks for unrelated secrets.
Persistence & Privilege
Flags show always:false and no elevated persistence. The skill does not modify other skills or system-wide settings; its file writes are limited to user-specified output paths when saving figures.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install scientific-visualization - After installation, invoke the skill by name or use
/scientific-visualization - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
- Initial release of the scientific-visualization skill.
- Provides tools for creating publication-ready figures with multi-panel layouts, error bars, statistical annotations, and colorblind-safe palettes.
- Supports journal-specific formatting (Nature, Science, Cell) and figure export in required formats (PDF, EPS, TIFF).
- Includes quick start guides, best practices, and ready-to-use style presets for matplotlib, seaborn, and plotly.
- Emphasizes accessibility, proper typography, and compliance with journal submission guidelines.
Metadata
Frequently Asked Questions
What is Scientific Visualization?
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, c... It is an AI Agent Skill for Claude Code / OpenClaw, with 547 downloads so far.
How do I install Scientific Visualization?
Run "/install scientific-visualization" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Scientific Visualization free?
Yes, Scientific Visualization is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Scientific Visualization support?
Scientific Visualization is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Scientific Visualization?
It is built and maintained by yxr191202 (@yxr191202); the current version is v0.1.0.
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