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Install in OpenClaw
/install yinan-data-analyzer
Description
Data analysis and visualization skill for CSV, Excel, and JSON data. Use when analyzing sales data, creating reports, generating charts, or processing e-comm...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install yinan-data-analyzer - After installation, invoke the skill by name or use
/yinan-data-analyzer - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Data Analyzer?
Data analysis and visualization skill for CSV, Excel, and JSON data. Use when analyzing sales data, creating reports, generating charts, or processing e-comm... It is an AI Agent Skill for Claude Code / OpenClaw, with 523 downloads so far.
How do I install Data Analyzer?
Run "/install yinan-data-analyzer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Data Analyzer free?
Yes, Data Analyzer is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Data Analyzer support?
Data Analyzer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Data Analyzer?
It is built and maintained by Yinanping (@yinanping-cpu); the current version is v1.0.1.
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