Waxell

skill

data-storyteller Review findings

dkyazzentwatwadkyazzentwatwa/chatgpt-skillsupdated

Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries. Use for exploratory analysis and executive-ready outputs.
dkyazzentwatwa's own description, from the skill's files.
Stars
128
Version
v1
Copies
0

Overview

holdReview findings

Waxell's checks found 8 findings to review, highest severity high.

Highest severity
high
Findings
8
What ran
Static analysis

A clean result means nothing alarming in what is published, not a guarantee. How the checks work

We don't republish the skill's instructions. Read them on GitHub at the reviewed commit.

Security

Security scan

Checked 2 days ago

Result

Review findings Waxell's checks found 8 findings to review, highest severity high.

Checked with static analysis: servers it launches, packages it installs at runtime, scripts piped to a shell and bundled binaries. Nothing was run. How the checks work

Findings (8)

high · 8

  • high

    Tells Claude to install unpinned packages (pandas, numpy)

    scripts/correlation_explorer.py:38 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (pyyaml)

    scripts/data_converter.py:64 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (toml)

    scripts/data_converter.py:71 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (xmltodict)

    scripts/data_converter.py:78 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (pandas, numpy)

    scripts/data_quality_auditor.py:40 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (reportlab)

    scripts/data_storyteller.py:897 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (pandas, numpy)

    scripts/outlier_detective.py:34 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (scikit-learn)

    scripts/outlier_detective.py:200 · skill_risk:S2

Versions

Version history

Each distinct content we have seen, newest first, with the verdict it got at the time.

One version so far: v1, seen 2026-11-03.

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