huggingface-llm-trainer

Pass

Audited by Gen Agent Trust Hub on Jun 22, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements secure secret management by instructing the agent to pass the Hugging Face token via the secrets parameter ($HF_TOKEN) rather than hardcoding it or reading it from unsafe locations.
  • [SAFE]: Remote code references and repository clones (e.g., llama.cpp from GitHub) target well-known technology services and trusted organizations, which are documented as safe sources.
  • [SAFE]: Subprocess executions in the conversion scripts are used for legitimate build and conversion tasks (using cmake, git, and pip). Commands are constructed as lists, which is a best practice to prevent command injection.
  • [SAFE]: Network operations are limited to official Hugging Face Hub APIs for dataset metadata retrieval and model management.
  • [SAFE]: The skill provides clear guidance on dataset validation using the dataset_inspector.py script, reducing the risk of runtime failures during expensive GPU jobs.
  • [SAFE]: No evidence of prompt injection, data exfiltration, obfuscation, or persistence mechanisms was found during analysis.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 22, 2026, 05:32 AM
Security Audit — agent-trust-hub — huggingface-llm-trainer