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Pandas Construction Analysis
作者
datadrivenconstruction
· GitHub ↗
· v2.1.0
1612
总下载
2
收藏
6
当前安装
2
版本数
在 OpenClaw 中安装
/install pandas-construction-analysis
功能描述
Comprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate report...
安全使用建议
This skill appears coherent with its purpose: it shows Pandas examples and asks for user-provided data files. Before installing, confirm that you will run it in a controlled Python environment with Pandas (or be prepared to install Pandas). Only provide non-sensitive datasets (or remove PII) because the skill requires filesystem access to read files. If you need stronger isolation, run analyses in a sandboxed environment or virtual environment. If you want additional assurance, review the full SKILL.md/instructions.md for any hidden network calls or commands before using with sensitive data.
功能分析
Type: OpenClaw Skill
Name: pandas-construction-analysis
Version: 2.1.0
This skill is classified as benign. It provides a comprehensive Pandas toolkit for construction data analysis, which inherently requires file system access for reading and writing data (CSV, Excel). The `claw.json` file explicitly requests `filesystem` permissions, which is justified by the skill's stated purpose and the code examples in `SKILL.md` (e.g., `pd.read_excel`, `df.to_csv`, `df.to_excel`). There is no evidence of malicious intent, such as data exfiltration, unauthorized command execution, persistence mechanisms, or prompt injection attempts in `SKILL.md` or `instructions.md` that would manipulate the AI agent to perform harmful actions.
能力评估
Purpose & Capability
Name and description match the requested capabilities: Pandas-based filtering, grouping, aggregation and reporting for construction/BIM data. The declared requirement is only python3 and the skill asks to work with user-supplied CSV/Excel/JSON files — these are proportional to the stated purpose. No unrelated binaries or credentials are requested.
Instruction Scope
SKILL.md and instructions.md show only Pandas examples and runtime steps that operate on user-provided datasets (CSV/Excel/JSON) and produce reports. The guidance explicitly limits processing to data provided by the user. I saw no instructions to read arbitrary system files, access credentials, or transmit data to external endpoints.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only, which minimizes install-time risk. The only runtime dependency implied is Pandas (and python3). The skill does not download or extract code from external URLs. Note: it assumes a Python environment with Pandas available or that the environment operator will install it.
Credentials
No environment variables, secrets, or external credentials are declared or required. The claw.json does list a filesystem permission (expected for reading user data), but that is consistent with a data-processing skill and no excessive credential access is requested.
Persistence & Privilege
The skill is not always-enabled and uses the platform defaults for invocation. It does request filesystem access (claw.json), which is appropriate for reading input files; it does not request to modify other skills or system-wide settings.
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 pandas-construction-analysis - 安装完成后，直接呼叫该 Skill 的名称或使用
/pandas-construction-analysis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
v2.1.0
Version 2.1.0 of pandas-construction-analysis introduces an improved and comprehensive documentation for construction data analysis using Pandas:
- Expanded SKILL.md with step-by-step examples covering data import, DataFrame creation, filtering, grouping, aggregation, and data transformation tailored to construction datasets.
- Added detailed explanations and code samples for construction-specific operations, including quantity take-off and report generation.
- Improved documentation of merging/joining, pivot tables, and string/date operations relevant to BIM and construction workflows.
- Enhanced quick start and practical usage sections to help users swiftly get value from the toolkit.
v1.0.0
Initial release of pandas-construction-analysis: a comprehensive construction data analysis toolkit using Pandas.
- Provides detailed examples and code snippets for common construction data tasks with Pandas.
- Covers filtering, grouping, aggregation, and calculation of quantities for BIM and structured construction datasets.
- Includes advanced selection, transformation, merging, and joining operations.
- Offers construction-specific analysis workflows, such as quantity take-offs and report generation.
- Quick start and best practices based on DDC methodology (Book Chapter 2.3).
元数据
常见问题
Pandas Construction Analysis 是什么？
Comprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate report... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1612 次。
如何安装 Pandas Construction Analysis？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pandas-construction-analysis」即可一键安装，无需额外配置。
Pandas Construction Analysis 是免费的吗？
是的，Pandas Construction Analysis 完全免费（开源免费），可自由下载、安装和使用。
Pandas Construction Analysis 支持哪些平台？
Pandas Construction Analysis 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux, win32）。
谁开发了 Pandas Construction Analysis？
由 datadrivenconstruction（@datadrivenconstruction）开发并维护，当前版本 v2.1.0。
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