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在 OpenClaw 中安装
/install yinan-data-analyzer
功能描述
Data analysis and visualization skill for CSV, Excel, and JSON data. Use when analyzing sales data, creating reports, generating charts, or processing e-comm...
安全使用建议
Proceed cautiously. The single provided script (scripts/analyze_data.py) appears benign and only reads local files and writes reports, but the documentation advertises many additional scripts and features that are missing and there is no homepage or repository to verify provenance. Before installing or running: (1) ask the publisher for the missing scripts/source repo and verify authenticity; (2) review the code locally (especially for any network access) and run it in an isolated environment or VM on non-sensitive data; (3) avoid giving any credentials — none are required; (4) be prepared to manually install pandas/matplotlib if you need full functionality; and (5) if you expect the extra e-commerce scripts, do not trust this package until the author supplies the actual files or a verified source. If you are uncomfortable with unknown provenance or missing files, do not install or enable autonomous invocation.
功能分析
Type: OpenClaw Skill
Name: yinan-data-analyzer
Version: 1.0.1
The skill bundle provides standard data analysis and visualization capabilities for CSV, Excel, and JSON files. The primary script, `scripts/analyze_data.py`, performs local data processing and generates HTML reports using standard Python libraries (and optionally pandas) without any network activity, credential harvesting, or suspicious system calls. While SKILL.md references additional scripts (e.g., `analyze_sales.py`) that are not included in the bundle, the provided code and instructions are consistent with the stated purpose of e-commerce data analysis.
能力评估
Purpose & Capability
The skill claims multiple scripts and e-commerce-specific analyses (analyze_sales.py, generate_charts.py, inventory_analysis.py, customer_analysis.py) and many features, but the bundle only contains a single script (scripts/analyze_data.py). No homepage or source repository is provided and the owner identity is opaque. The declared metadata lists no required env vars or binaries, yet SKILL.md refers to pandas/matplotlib as required packages. These gaps make the stated purpose and the delivered capability inconsistent.
Instruction Scope
SKILL.md contains runnable examples that invoke several scripts that do not exist in the package; following those examples would fail or cause the agent to search for/attempt to fetch missing files. The instructions also advise installing Python packages (pandas, matplotlib) but there is no controlled install mechanism declared. The instructions do not request any credentials or external endpoints for data exfiltration, and the included analyze_data.py performs only local file I/O and report generation (no network calls).
Install Mechanism
No install specification is present in the registry metadata (lowest risk), but README suggests 'npx clawhub install yinan-data-analyzer' as a user command. The lack of an official install spec in the registry means installations are not reproducibly declared. Missing declared package dependencies (pandas/matplotlib) could lead to ad-hoc pip installs by users or the agent.
Credentials
The skill requests no environment variables, credentials, or config paths — which is proportionate for a local data-processing tool. The included Python script also does not read environment variables or network endpoints. This is appropriate given the claimed functionality.
Persistence & Privilege
The skill does not request elevated persistence (always:false) and the default autonomous invocation is unchanged. It does not attempt to modify other skills or system configuration. No persistence-related red flags were found.
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 yinan-data-analyzer - 安装完成后，直接呼叫该 Skill 的名称或使用
/yinan-data-analyzer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
v1.0.1
- Simplified and streamlined the SKILL.md documentation for clarity.
- Replaced multiple script instructions with a unified analyze_data.py script for core data analysis and reporting.
- Clarified features to focus on basic statistical analysis, group-by support, and e-commerce data.
- Updated quick start examples and arguments reflecting new script structure.
- Retained dedicated sections for e-commerce analytics, templates, and best practices.
v1.0.0
Initial release of Data Analyzer – a comprehensive data analysis and visualization tool.
- Analyze CSV, Excel, and JSON data with statistical functions (mean, median, trends).
- Generate charts (bar, line, pie, scatter) and create pivot tables.
- Automated reporting supporting e-commerce analytics, including Taobao/Douyin sales and inventory/customer analysis.
- Multiple output formats: HTML reports, Excel workbooks, and CSV exports.
- Includes best practices and troubleshooting guidance for efficient data processing.
元数据
常见问题
Data Analyzer 是什么？
Data analysis and visualization skill for CSV, Excel, and JSON data. Use when analyzing sales data, creating reports, generating charts, or processing e-comm... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 523 次。
如何安装 Data Analyzer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install yinan-data-analyzer」即可一键安装，无需额外配置。
Data Analyzer 是免费的吗？
是的，Data Analyzer 完全免费（开源免费），可自由下载、安装和使用。
Data Analyzer 支持哪些平台？
Data Analyzer 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 Data Analyzer？
由 Yinanping（@yinanping-cpu）开发并维护，当前版本 v1.0.1。
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