fine-tuning-expert

Warn

Audited by Snyk on Aug 26, 2026

Risk Level: MEDIUM
Full Analysis

MEDIUM W011: Third-party content exposure detected (indirect prompt injection risk).

  • Third-party content exposure detected (low risk: 0.10). The skill’s runtime path only describes using user-provided dataset fields (e.g., instruction, input, output / conversations[*].value) in training/evaluation code, not any outsider-posted free-text feed or queue that the workflow automatically reads without selecting a specific dataset/file.

MEDIUM W012: Unverifiable external dependency detected (runtime URL that controls agent).

  • Potentially malicious external URL detected (high risk: 0.90). The skill calls AutoModelForCausalLM.from_pretrained with trust_remote_code=True which causes the model repo code to be fetched and executed at runtime (e.g., meta-llama/Llama-3.1-8B).

Issues (2)

W011
MEDIUM

Third-party content exposure detected (indirect prompt injection risk).

W012
MEDIUM

Unverifiable external dependency detected (runtime URL that controls agent).

Audit Metadata
Risk Level
MEDIUM
Analyzed
Aug 26, 2026, 05:57 PM
Issues
2
Security Audit — snyk — fine-tuning-expert