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在 OpenClaw 中安装
/install scientific-visualization
功能描述
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, c...
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install scientific-visualization - 安装完成后，直接呼叫该 Skill 的名称或使用
/scientific-visualization触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
Scientific Visualization 是什么？
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, c... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 547 次。
如何安装 Scientific Visualization？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install scientific-visualization」即可一键安装，无需额外配置。
Scientific Visualization 是免费的吗？
是的，Scientific Visualization 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Scientific Visualization 支持哪些平台？
Scientific Visualization 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Scientific Visualization？
由 yxr191202（@yxr191202）开发并维护，当前版本 v0.1.0。
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