ml-fairchem-finetune

Pass

Audited by Gen Agent Trust Hub on Jun 19, 2026

Risk Level: SAFE
Full Analysis
  • [COMMAND_EXECUTION]: The skill uses shell commands within run.sh and test_fairchem_finetuning.sh to automate the fine-tuning pipeline. This includes executing python scripts and the fairchem CLI to perform data preparation and model training.
  • [SAFE]: The skill dynamically generates Python helper scripts (_freeze_backbone_helper.py) and Hydra configuration YAML files. These are used to customize the training runner and are generated from hardcoded templates within the skill, which is a standard approach for experiment management in the Fairchem ecosystem.
  • [PROMPT_INJECTION]: An indirect prompt injection surface exists as the skill processes user-supplied JSON data files through scripts/prepare_fairchem_data.py. However, the ingested data is strictly used for numerical model training and data conversion, and is not used to influence or construct LLM prompts, effectively mitigating the risk.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 19, 2026, 04:47 PM