fine-tuning-expert

Warn

Audited by Socket on Aug 27, 2026

1 alert found:

Anomaly
AnomalyLOW
references/deployment-optimization.md

No explicit malicious payloads (e.g., credential theft, exfiltration, persistence) are visible in this fragment. However, the code contains significant supply-chain and execution-risk primitives typical of LLM deployment pipelines: vLLM is configured with trust_remote_code=True (enabling potential arbitrary code execution from model artifacts), and GGUF export runs external conversion/quantization tools via subprocess.run using paths derived from LLAMA_CPP_PATH (path/tool tampering could lead to RCE). Treat this code as high-impact operationally if model artifacts or runtime tooling paths are not strictly controlled.

Confidence: 62%Severity: 64%
Audit Metadata
Analyzed At
Aug 27, 2026, 11:50 AM
Package URL
pkg:socket/skills-sh/seltherpython%2Fopencode-skills%2Ffine-tuning-expert%2F@50cdd3f3e7b6c7bbf4f4748ac811fe944b08badda399f3844a60392e119cf12f
Security Audit — socket — fine-tuning-expert