Dataset Profiler

Most wrong analyses are not wrong in the statistics, they are wrong in the assumptions made about the data in the first ten minutes. This skill front-loads that: what each column actually contains, where the nulls are and whether they are random, which rows are duplicates, and which questions this dataset simply cannot answer.

When to use

• Any dataset you did not create yourself.
• Before the first chart, model, or aggregate.
• When a number looks surprising and you need to know whether it is real.

Install

npx openagents-cli add openagents/data-cleaning

What is in the package

• SKILL.md - the profiling procedure and what to report.
• checks.md - the specific checks per column type, with what each failure implies.

License

MIT