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.
- Stars
- 14,234
- Version
- v1
- Copies
- 0
Overview
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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