hugging-face-model-trainer

Warn

Audited by Socket on Sep 10, 2026

2 alerts found:

AnomalySecurity
AnomalyLOW
SKILL.md

SUSPICIOUS: The skill is largely coherent with its stated Hugging Face training purpose and uses official HF/Astral tooling, so it is not malicious. However, it enables autonomous paid job submission and execution of remote training scripts with HF_TOKEN available in the runtime, creating meaningful supply-chain and cost/credential exposure if unpinned third-party scripts are used.

Confidence: 89%Severity: 58%
SecurityMEDIUM
scripts/convert_to_gguf.py

No direct evidence of intentional malware or covert data theft is present in this module. The security risk is dominated by supply-chain and code-execution surfaces: it executes code from a runtime-cloned llama.cpp repository (including pip installs and native builds without pinning) and it may execute remote Hugging Face model/tokenizer repository code when TRUST_REMOTE_CODE is enabled. Treat this as a high supply-chain risk tool unless you fully control and pin inputs (model repos, llama.cpp revision) and keep TRUST_REMOTE_CODE disabled.

Confidence: 68%Severity: 70%
Audit Metadata
Analyzed At
Sep 10, 2026, 12:51 AM
Package URL
pkg:socket/skills-sh/sickn33%2Fagentic-awesome-skills%2Fhugging-face-model-trainer%2F@47e3feca85f8f9d39a3ac1959da01000aecb9491c502799d34983ad4f15e17e4
Security Audit — socket — hugging-face-model-trainer