Exploratory data analysis. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data". Small files get ydata-profiling HTML/JSON reports; large files (over 200MB or 5M rows) get fixed-memory DuckDB/sketch profiling. Also covers near-duplicate row detection, cross-file key overlap ("can these join?"), dataset drift vs a stored baseline, and time-series profiling.
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Use this Skill: https://skilld.dev/gh/oaustegard/claude-skills/exploring-data
This session only. Nothing lands on disk.
≈75 tokens on demand. Your agent reads this file only when SKILL.md points to it.
Exploratory data analysis using ydata-profiling. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data". Generates interactive HTML or JSON reports with statistics, visualizations, correlations, and quality alerts.
Source: SKILL.md on GitHub
The skill provides robust exploratory data analysis capabilities using industry-standard libraries like ydata-profiling and DuckDB. It manages dependencies securely via virtual environments and includes logic for handling both small and large datasets. All external resources originate from trusted repositories and well-known services. No malicious patterns were detected.
1 alert: gptAnomaly
Risk: MEDIUM · 1 issue
11/11 files flagged
Signed by skilld at fde9b75. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.
Last checked against GitHub yesterday.
{
"version": "0.2.0"
}