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nimrodfisher/data-analytics-skills201 installs

analysis-qa-checklist

Pre-delivery quality assurance for analysis work. Use when reviewing analysis before sharing with stakeholders, checking for completeness, validating assumptions, or ensuring clarity of recommendations.

How do I install this agent skill?

npx skills add https://github.com/nimrodfisher/data-analytics-skills --skill analysis-qa-checklist
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill establishes a quality assurance workflow for data analysis deliverables, consisting of a manual checklist, error references, and an automated data validation script. No security issues or malicious patterns were detected.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

When to use

Before sharing any analysis output with a stakeholder — dashboard, report, ad-hoc query result, model output, or written findings. Run this every time, not just for big projects. The cost of a post-delivery correction is always higher than the cost of a pre-delivery check.

Process

  1. Run automated checks — use scripts/qa_runner.py against the output file to catch numeric, structural, and formatting issues programmatically.
  2. Complete the logic checklist — work through references/qa_checklist_master.md section by section: question framing, data sourcing, transformations, statistical validity, findings, and presentation.
  3. Review for common errors — cross-check against references/common_analysis_errors.md; pay special attention to the top-frequency mistakes for the analysis type.
  4. Validate assumptions explicitly — for every assumption in the analysis, verify it has a source, is documented, and the output is sensitivity-tested where the assumption is uncertain.
  5. Check the narrative — confirm the conclusion follows from the data, caveats are stated, and the recommendation is actionable.
  6. Record sign-off — complete assets/qa_signoff_template.md with reviewer, issues found, resolution status, and delivery decision.

Inputs the skill needs

  • Output file to review (CSV, notebook, SQL result, or written doc)
  • Original analysis question / brief
  • Name of reviewer and intended audience

Output

  • QA runner report (automated flags)
  • Completed checklist with pass/fail per section
  • Signed-off qa_signoff_template.md confirming delivery readiness

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/nimrodfisher/data-analytics-skills/analysis-qa-checklist">View analysis-qa-checklist on skillZs</a>