Validate Data
This is a structured pre-flight checklist for data analysis, designed to catch the embarrassing errors before they reach stakeholders. It walks through methodology review, calculation spot-checks, and a catalog of common pitfalls like join explosions and survivorship bias. The output is a three-tier confidence rating (ready to share, share with caveats, needs revision) plus specific findings. Use it when you've finished an analysis and want a systematic second look before the presentation. The checklist is thorough enough to be genuinely useful but still requires you to actually verify the numbers, it's not magic validation.
- skills.sh installs
- 3.9K
- GitHub stars
- 35.3K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add anthropics/knowledge-work-plugins --skill validate-data --agent claude-codeInstalls into .claude/skills of the current project.
Files
/validate-data - Validate Analysis Before Sharing
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Review an analysis for accuracy, methodology, and potential biases before sharing with stakeholders. Generates a confidence assessment and improvement suggestions.
Usage
/validate-data <analysis to review>
The analysis can be:
- A document or report in the conversation
- A file (markdown, notebook, spreadsheet)
- SQL queries and their results
- Charts and their underlying data
- A description of methodology and findings
Workflow
1. Review Methodology and Assumptions
Examine:
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- Repository
- github.com/anthropics/knowledge-work-plugins
- Categories
- Testing & QA, Office & Documents, Databases
- First seen
- Apr 16, 2026
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