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#data validation#analysis QA#sql validation#accuracy check#ai code validation

Validate Data Analysis

Independent PiSkill directory guide. The original skill remains hosted by Anthropic Knowledge Work Plugins.

What is Validate Data Analysis?

Quality-checks an analysis before sharing by reviewing methodology, calculations, SQL logic, aggregation choices, bias risks, and whether the conclusions are actually supported by the data.

What does Validate Data Analysis do?

Validate Data Analysis is an Anthropic data skill for quality-checking an analysis before it reaches stakeholders. It reviews methodology, assumptions, joins, calculations, filters, charts, bias risks and whether the narrative is actually supported by the evidence.

Who is Validate Data Analysis best for?

  • Data analysts reviewing work before a presentation
  • Teams validating SQL-based reports and dashboards
  • Managers checking whether an analysis supports a decision
  • Analysts looking for hidden bias, aggregation or denominator problems

Common use cases

  • Spot-check calculations and aggregation logic
  • Review SQL results for join explosions or incorrect filters
  • Check charts for misleading scales or labels
  • Assess whether conclusions and recommendations match the evidence

How does Validate Data Analysis work?

The workflow reviews the question and data selection first, then runs a pre-delivery QA checklist covering data quality, calculations, reasonableness and presentation. It also checks common analytical pitfalls, independently spot-checks numbers where possible and finishes with a confidence assessment such as ready to share, share with caveats or needs revision.

Key benefits

  • Combines methodological, numerical and presentation review
  • Explicitly checks common analytical failure modes
  • Produces a clear confidence assessment for stakeholders
  • Encourages reproducibility and transparent caveats

Things to know

  • The review is limited by the data, SQL and context it can inspect
  • A clean validation result does not prove the source data itself is complete or unbiased
  • High-stakes analyses may still require specialist statistical or domain review

Compatible tools

Claude CoworkClaude Code

Frequently asked questions

What does the Validate Data Analysis skill check?
It checks methodology, source selection, joins, calculations, filters, charts, common analytical biases and whether the conclusions are supported by the data.
Can it validate SQL analysis?
Yes. SQL queries and their results are explicitly supported, including checks for joins, grouping, filters, denominators and aggregation logic.

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