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在 OpenClaw 中安装
/install upset-plot-converter
功能描述
Convert complex Venn diagrams with more than 4 sets to clearer Upset.
安全使用建议
This skill appears to do what it says: generate Upset plots from sets/lists. Before running it: (1) run it in a sandboxed or limited-permission environment (not as root) so a malicious or mistaken output_path cannot overwrite sensitive files; (2) review scripts/main.py yourself if you have concerns—it contains all runtime logic and shows no network calls or credential use; (3) ensure Python 3.10+ and install requirements (pip install -r requirements.txt). Note the SKILL.md mentions pandas but the code doesn't use it—add pandas only if your workflow needs it. If you expect the agent to run this autonomously, ensure the agent's sandbox and path restrictions are in place because the script does not validate output paths.
功能分析
Type: OpenClaw Skill
Name: upset-plot-converter
Version: 1.0.0
The skill bundle is a legitimate utility for generating Upset plots from set data using matplotlib and numpy. The code in scripts/main.py is well-structured, lacks any network or sensitive file access, and strictly adheres to its documented purpose without any signs of malicious intent or prompt injection in SKILL.md.
能力评估
Purpose & Capability
The name/description (convert Venn diagrams with >4 sets to Upset plots) matches the included code: scripts/main.py computes set intersections and renders an Upset-like plot. The declared dependencies (matplotlib, numpy) are appropriate. Minor doc mismatch: SKILL.md also lists pandas as a requirement but requirements.txt does not include pandas; the code does not import pandas.
Instruction Scope
SKILL.md instructs running the packaged script and to validate inputs; the script itself only reads in-memory set data (or lists) and writes a PNG to the provided output_path. There is no network access or hidden endpoints. However, the script does not perform explicit path sanitization or sandboxing: if given an output_path that points outside the workspace (e.g., with '../'), the script will attempt to write there under the current process permissions. The SKILL.md recommends validating paths, but this validation is not enforced by the code.
Install Mechanism
No install spec is provided (instruction-only with bundled script). Dependencies are provided via requirements.txt (matplotlib, numpy). There are no downloads from untrusted URLs and no archive extraction—low install risk.
Credentials
The skill requires no environment variables, no credentials, and no config paths. This is proportionate to its purpose.
Persistence & Privilege
always is false and the skill does not modify other skills or system configuration. It only reads inputs passed to its functions and writes the specified output file.
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 upset-plot-converter - 安装完成后，直接呼叫该 Skill 的名称或使用
/upset-plot-converter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
v1.0.0
Initial release of upset-plot-converter.
- Converts complex Venn diagrams with more than 4 sets to clear, readable Upset Plots.
- Provides both a Python API and command line workflow via scripts/main.py.
- Handles both set and list input formats for user flexibility.
- Validates inputs and includes fallback/error handling guidance for missing or incomplete data.
- Outputs results as PNG visualizations, with explicit workflow and reproducibility focus.
- Includes risk assessment, security checklist, and usage examples for safe adoption.
元数据
常见问题
Upset Plot Converter 是什么？
Convert complex Venn diagrams with more than 4 sets to clearer Upset. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 115 次。
如何安装 Upset Plot Converter？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install upset-plot-converter」即可一键安装，无需额外配置。
Upset Plot Converter 是免费的吗？
是的，Upset Plot Converter 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Upset Plot Converter 支持哪些平台？
Upset Plot Converter 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 Upset Plot Converter？
由 AIpoch（@aipoch-ai）开发并维护，当前版本 v1.0.0。
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