Data Analysis

Comprehensive data analysis workflow for CSV files with interactive guidance and flexible output formats. Use this skill whenever the user mentions: analyzin...

This skill appears to do what it says — analyze CSVs with pandas and produce reports — but before installing or invoking it: (1) Ask the skill author or installer which Python packages (pandas, numpy, plotting libraries, etc.) are required and whether the environment will install them automatically. (2) Be cautious when supplying file paths: the skill will read whatever path you provide, so do not point it at system or secret files (for example ~/.ssh, credential stores, or other non-CSV sensitive files). (3) Prefer running it in a sandboxed environment (or on copies of data) if you plan to analyze sensitive datasets. (4) If you plan to use --auto mode, understand it will skip interaction checkpoints and may run transformations without confirmation. (5) If you need guarantees about no network exfiltration or package installs, request an explicit install spec and dependency list from the publisher before use.

Type: OpenClaw Skill Name: yz6214589-hash-data-analysis Version: 1.0.0 The skill provides a structured 7-step workflow for CSV data analysis, including data cleaning, exploratory analysis, and the generation of Markdown or interactive HTML reports. It uses standard data science libraries (pandas, seaborn, matplotlib) and includes safety checks for data quality. No malicious behavior, obfuscation, or unauthorized data access was detected; the use of subprocess for package installation is limited to a hardcoded list of standard libraries (SKILL.md).