Waxell
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
zlanqing's own description, from the skill's files.
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5,626
Version
v1
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0

Overview

holdReview findings

Waxell's checks found 1 finding to review, highest severity high.

Highest severity
high
Findings
1
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 1 finding 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 (1)

high · 1

  • high

    Tells Claude to install unpinned packages (networkx)

    SKILL.md:264 · 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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SOC 2 Type II attested · ISO/IEC 27001:2022 certified · HIPAA with a BAA · aligned to the EU AI Act and NIST AI RMF

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