Localized reading guide
validate-dataPurpose, usage and source
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.
Source retrieved:
- Source repository
- anthropics/knowledge-work-plugins
- SKILL.md
data/skills/validate-data/SKILL.md- Repository stars
- 34,049
- Repository updated
- 2026-10-30
- Categories
- Data
- Last collected
License: License file needs review
Workflow excerpts are reading aids, not executable instructions from Codez. No third-party Skill was run to produce this page.
The purpose and workflow passages below are upstream material, organized and translated for reading. They are distinct from the separately labeled Codez editorial analysis.
What this Skill 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.
How the upstream workflow works
Usage
The analysis can be: A document or report in the conversation A file (markdown, notebook, spreadsheet) SQL queries and their results
Upstream passage · L13 ↗/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.
Upstream passage · L7 ↗1. Review Methodology and Assumptions
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?
Upstream passage · L28 ↗/validate-data <analysis to review>Requirements and setup
No short requirements passage was selected from this file. This does not mean the Skill has no dependencies. Check the repository setup instructions and referenced files.
Limits and quality checks
3. Check for Common Analytical Pitfalls
Systematically review against the detailed pitfall catalog below (join explosion, survivorship bias, incomplete period comparison, denominator shifting, average of averages, timezone mismatches, selection bias).
Upstream passage · L42 ↗Data Quality Checks
[ ] Source verification: Confirmed which tables/data sources were used. Are they the right ones for this question? [ ] Freshness: Data is current enough for the analysis. Noted the "as of" date.
Upstream passage · L133 ↗Start with a safe trial
- Check the supported host and the repository installation instructions. Keep the Skill directory and its referenced scripts, assets and documentation together; SKILL.md alone may omit dependencies.
- Give the agent your real input, desired output and acceptance criteria. Invocation syntax and available tools depend on the host; this site does not assume a universal install command.
- Try the source workflow in a disposable project or on a copy. Review operations that change files, remote services or billable resources before allowing them.
- Validate the output against the source quality checks and your own requirements. A successful trigger or a high repository Star count does not establish a correct result.
Read further in the source
- /validate-data - Validate Analysis Before Sharing
- Usage
- 1. Review Methodology and Assumptions
- 2. Run the Pre-Delivery QA Checklist
- 3. Check for Common Analytical Pitfalls
- 4. Verify Calculations and Aggregations
- 5. Assess Visualizations
- 6. Evaluate Narrative and Conclusions
- 7. Suggest Improvements
- 8. Generate Confidence Assessment
- Pre-Delivery QA Checklist
- Data Quality Checks
- Calculation Checks
- Reasonableness Checks
- Presentation Checks
- Join Explosion
- Survivorship Bias
- Incomplete Period Comparison
- Denominator Shifting
- Average of Averages
- Timezone Mismatches
- Selection Bias in Segmentation
- Other Statistical Traps
- Magnitude Checks
- Cross-Validation Techniques
- Red Flags That Warrant Investigation
- Analysis Documentation Template
- Code Documentation
- Version Control for Analyses
- Tips
Related Skills
Translation and scope
This reading guide selects passages from the pinned upstream SKILL.md. Translation is assisted. It is not a complete manual or a claim of tested compatibility. Read the original and its referenced files before use.
This introduction refers to the pinned version below; current repository activity and collection time are shown separately.
- Pinned source
- Read the original ↗
- Source retrieved
- Source commit
2574e29377c7173d0cecffef29a6ecbd7f8ccb5d- Source SHA-256
1e424822043480375b80aef9416227b1c8083af749ca536568716265f79ca54b