← Back to Skills Marketplace
Data Analysis
by
rupertnt034
· GitHub ↗
· v1.0.0
· MIT-0
2881
Downloads
1
Stars
7
Active Installs
1
Versions
Install in OpenClaw
/install rupert-data-analysis
Description
Analyze and transform data from multiple formats to generate insights, visualize trends, detect anomalies, and create comprehensive reports.
README (SKILL.md)
Data Analysis Skill
Overview
Analyze data, generate insights, and create reports.
Capabilities
1. Data Processing
- Parse CSV/JSON/Excel
- Clean and transform data
- Calculate metrics
- Create summaries
2. Visualization
- Suggest chart types
- Generate data stories
- Dashboard layouts
3. Insights
- Trend identification
- Anomaly detection
- Correlation analysis
- Recommendations
4. Reporting
- Automated reports
- Executive summaries
- Presentation outlines
Usage
Commands
analyze this data [data]what trends do you seecreate chart for [data]write summary of [data]suggest improvements
Supported Formats
- CSV
- JSON
- Excel
- Google Sheets
- SQL queries
Metrics Calculated
- Averages
- Percentages
- Growth rates
- Ratios
- Correlations
Usage Guidance
This skill appears to be a generic, instruction-only data-analysis helper and is internally coherent. Before installing or using it: 1) Confirm how it will receive data — prefer pasting or uploading datasets rather than granting live access to Google Sheets or databases. 2) If you must connect it to Google Sheets or an SQL database, use least-privilege credentials (read-only, scoped, or temporary) and a test dataset with no PII or secrets. 3) Ask the skill author (or check the runtime/integration) how credentials are handled and whether any external endpoints are contacted. 4) Run it on non-sensitive data first to validate outputs and ensure it doesn't request unnecessary system files or secrets.
Capability Analysis
Type: OpenClaw Skill
Name: rupert-data-analysis
Version: 1.0.0
The skill bundle contains only metadata and a markdown file (SKILL.md) describing standard data analysis capabilities such as parsing CSV/JSON, calculating metrics, and generating reports. There is no executable code, no network activity, and no evidence of prompt injection or malicious instructions.
Capability Assessment
Purpose & Capability
Name and description match the SKILL.md capabilities (parsing CSV/JSON/Excel, visualizations, summaries). Nothing requested (no binaries, env vars, or installs) conflicts with the stated purpose.
Instruction Scope
Runtime instructions are high-level and stay within data analysis. However the SKILL.md lists Google Sheets and SQL queries as supported formats without describing how connections/credentials are handled; the guidance is broad and gives the agent discretion to ask for or request external data access.
Install Mechanism
No install spec and no code files — instruction-only skill. This is lowest-risk from an install standpoint (nothing is written to disk or fetched at install time).
Credentials
The skill declares no required environment variables or credentials, which is proportionate. That said, supporting Google Sheets and SQL implies the potential need for credentials if the agent is asked to connect to those sources; those credentials are not declared here (the skill is underspecified).
Persistence & Privilege
always:false and user-invocable; the skill does not request persistent system presence or elevated privileges and contains no install-time hooks.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install rupert-data-analysis - After installation, invoke the skill by name or use
/rupert-data-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the Data Analysis Skill.
- Parse and process data in CSV, JSON, Excel, Google Sheets, and SQL formats.
- Clean, transform, and summarize datasets.
- Suggest and outline appropriate visualizations and dashboards.
- Detect trends, anomalies, correlations, and generate recommendations.
- Automatically generate reports, summaries, and presentation outlines.
Metadata
Frequently Asked Questions
What is Data Analysis?
Analyze and transform data from multiple formats to generate insights, visualize trends, detect anomalies, and create comprehensive reports. It is an AI Agent Skill for Claude Code / OpenClaw, with 2881 downloads so far.
How do I install Data Analysis?
Run "/install rupert-data-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Data Analysis free?
Yes, Data Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Data Analysis support?
Data Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Data Analysis?
It is built and maintained by rupertnt034 (@rupertnt034); the current version is v1.0.0.
More Skills