validate-data Skill
QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data. Published by anthropics in knowledge-work-plugins.
What is validate-data Skill?
QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data. Published by anthropics in knowledge-work-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Database workflows
- Documentation
- Data analysis
- Database workflows use cases
- Documentation use cases
Technical details
- Install or run with Copy skill directory
When to use validate-data Skill
- Use it for database workflows.
- Use it for documentation.
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: anthropics
- Repository: anthropics/knowledge-work-plugins
- Skill file: data/skills/validate-data/SKILL.md
What it does
QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data.
Skill instructions
/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: - Question framing: Is the analysis answering the right question? Could the question be interpreted differently? - Data selection: Are the right tables/datasets being used? Is the time range appropriate? - Population definition: Is the analysis population correctly defined? Are there unintended exclusions? - Metric definitions: Are metrics defined clearly and consistentl
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Frequently asked questions
What is validate-data?
validate-data is a open-source AI agent skill with Copy skill directory. QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL.
Who is validate-data best for?
validate-data is best for reusing agent instructions, scripts, and references, database workflows, documentation workflows, data analysis workflows.
How do I install validate-data?
Install or run validate-data using Copy skill directory. Check validate-data for the latest setup command.
Is validate-data actively maintained?
validate-data may need a closer maintenance check before production use.
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