Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
- Stars
- 14,234
- Version
- v1
- Copies
- 0
Overview
Waxell rates it high risk: 25 findings, highest severity critical.
- Highest severity
- critical
- Findings
- 25
- 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: 25 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 (25)
critical · 1
- critical
Tells Claude to download a script and pipe it to a shell
references/llms-full.md:1029 · skill_risk:S1
high · 21
- high
Tells Claude to install unpinned packages (unsloth)
references/llms-full.md:62 · skill_risk:S2
- high
Tells Claude to install unpinned packages (unsloth, unsloth_zoo)
references/llms-full.md:934 · skill_risk:S2
- high
Tells Claude to install unpinned packages (git+https://github.com/unslothai/unsloth.git)
references/llms-full.md:939 · skill_risk:S2
- high
Tells Claude to install unpinned packages (git+https://github.com/unslothai/unsloth-zoo.git)
references/llms-full.md:940 · skill_risk:S2
- high
Tells Claude to install unpinned packages (git+https://github.com/unslothai/unsloth_zoo.git)
references/llms-full.md:967 · skill_risk:S2
- high
Tells Claude to install unpinned packages (pip)
references/llms-full.md:1000 · skill_risk:S2
- high
Tells Claude to install unpinned packages (torch)
references/llms-full.md:1036 · skill_risk:S2
- high
Tells Claude to install unpinned packages (torch, torchvision, torchaudio, triton)
references/llms-full.md:1389 · skill_risk:S2
- high
Tells Claude to install unpinned packages (notebook)
references/llms-full.md:1489 · skill_risk:S2
- high
Tells Claude to install unpinned packages (torch==2.8.0, pytorch-triton-rocm, torchvision, torchaudio, torchao==0.13.0, xformers)
references/llms-full.md:1532 · skill_risk:S2
- high
Tells Claude to install unpinned packages (unsloth, unsloth-zoo)
references/llms-full.md:1546 · skill_risk:S2
- high
Tells Claude to install unpinned packages (git+https://github.com/unslothai/unsloth)
references/llms-full.md:1548 · skill_risk:S2
- high
Tells Claude to install unpinned packages (diffusers, as, well, if, you, get …)
references/llms-full.md:3444 · skill_risk:S2
- high
Tells Claude to install unpinned packages (unsloth, vllm)
references/llms-full.md:3546 · skill_risk:S2
- high
Tells Claude to install unpinned packages (vllm)
references/llms-full.md:4563 · skill_risk:S2
- high
Tells Claude to install unpinned packages (uv)
references/llms-full.md:5308 · skill_risk:S2
- high
Tells Claude to install unpinned packages (transformers==4.56.2, tokenizers)
references/llms-full.md:5316 · skill_risk:S2
- high
Tells Claude to install unpinned packages (huggingface_hub, hf_transfer)
references/llms-full.md:6095 · skill_risk:S2
- high
Tells Claude to install unpinned packages (torch==2.8.0, torchvision, torchaudio)
references/llms-full.md:7375 · skill_risk:S2
- high
Tells Claude to install unpinned packages (https://github.com/sgl-project/whl/releases/download/v0.3.2/sgl_kernel-0.3.2+cu128-cp39-abi3-manylinux2014_x86_64.whl)
references/llms-full.md:7386 · skill_risk:S2
- high
Tells Claude to install unpinned packages (https://github.com/sgl-project/whl/releases/download/v0.3.2/sgl_kernel-0.3.2-cp39-abi3-manylinux2014_x86_64.whl)
references/llms-full.md:7390 · skill_risk:S2
medium · 3
- medium
Tells Claude to install packages (unsloth==2025.1.5)
references/llms-full.md:946 · skill_risk:S3
- medium
Tells Claude to install packages (trl==0.22.2)
references/llms-full.md:5317 · skill_risk:S3
- medium
Tells Claude to install packages (sgl-kernel==0.3.2)
references/llms-full.md:7382 · skill_risk:S3
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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