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Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.
orchestra-research's own description, from the skill's files.
Stars
14,234
Version
v1
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0

Overview

blockHigh risk

Waxell rates it high risk: 7 findings, highest severity critical.

Highest severity
critical
Findings
7
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

High risk Waxell rates it high risk: 7 findings, highest severity critical.

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 (7)

critical · 1

  • critical

    Tells Claude to download a script and pipe it to a shell

    references/troubleshooting.md:148 · skill_risk:S1

high · 6

  • high

    Tells Claude to install unpinned packages (lambda-cloud-client)

    SKILL.md:132 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (transformers, accelerate, peft)

    SKILL.md:472 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (torch, transformers, accelerate)

    references/advanced-usage.md:389 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (torch==2.1.0+cu121, https://download.pytorch.org/whl/torch_stable.html)

    references/troubleshooting.md:200 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (hf_transfer)

    references/troubleshooting.md:328 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (torch)

    references/troubleshooting.md:367 · 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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