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Validate Data Analysis

Checks whether an analysis is accurate and ready to share or base a decision on

Stars
13,743
Licence
MIT
Files
2 files

What it does

Once installed, the agent reviews an existing analysis, report, notebook, spreadsheet, SQL query, dashboard or chart before it goes to stakeholders. It checks the question being answered, the methodology and filters, whether key numbers add up when recomputed, whether charts could mislead, and whether conclusions go beyond the evidence. It then separates blocking problems from minor caveats and lists required fixes. It is framed as quality assurance, and it points to other companion skills for dataset reliability checks, recommendations and chart review.

Great for

  • Analysts who want a second pair of eyes before sending a report to leadership
  • Product or business teams reviewing a colleague's metrics or dashboard before a decision
  • Anyone who needs a documented list of blockers versus caveats for an analysis

Skip it if

  • Profiling a raw dataset alone, since the skill is for analysis QA and defers dataset freshness and grain checks to a companion skill (the analyze-data-quality skill, which is not part of these files)
  • Situations where the data or source access is unavailable, because the skill can only verify what it can reach and must label anything unverifiable

Try asking

  • “Review this quarterly retention analysis notebook before I share it with the leadership team”
  • “Check whether the conversion-rate calculations and denominators in this spreadsheet are correct”
  • “Validate the conclusions in this report and tell me which issues block sharing and which are caveats”
Step-by-step guide: how to use Validate Data AnalysisInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 2 original files, the MIT licence and an attribution note.

    validate-data.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip validate-data.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip validate-data.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Point the agent to the exact file, query or dashboard so it can recompute numbers rather than judge only the polish
  • State the stakeholder audience and decision up front so the agent can judge whether the analysis answers the right question
  • Provide the data source access and freshness date, since unverifiable items are flagged rather than confirmed

What's inside

  • agents/openai.yaml
  • SKILL.md

Redistributed unmodified from XiaomiMiMo/MiMo-Code under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.