Waxell
Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.
orchestra-research's own description, from the skill's files.
Stars
14,234
Version
v1
Copies
0

Overview

holdReview findings

Waxell's checks found 4 findings to review, highest severity high.

Highest severity
high
Findings
4
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 4 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 (4)

high · 4

  • high

    Tells Claude to install unpinned packages (a-evolve)

    SKILL.md:45 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (a-evolve)

    references/README.md:71 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (a-evolve)

    references/issues.md:14 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (a-evolve)

    references/releases.md:83 · 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 (1.0.0), seen 2026-11-03.

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