GAIN

This skill appears to do what it says: predict rice traits from genotype and environment. Before installing/use, consider: (1) Model checkpoints (.pt) are loaded with torch.load — ensure any .pt files packaged with or later added to this skill come from a trusted source because malicious checkpoints can execute code when unpickled. (2) The skill will call NASA POWER (power.larc.nasa.gov) if internet is available and will cache responses under data/env_cache in the skill folder; if you need to limit network access, run offline or provide local CSVs. (3) The included check_env.py references model files under data/models_* which are not listed in the manifest you provided — prediction will fail unless model checkpoints are present; verify where the model files originate. (4) Run the provided check_env.py in a sandbox or review the model files before running predict.py; inspect large .pt files or obtain them from the original author/repository. (5) If you allow users to pass a genotype_file path, be careful that the CLI will read that file; do not point it at sensitive system files. If you want higher assurance, request the upstream model artifacts or their provenance and validate them (or run inference in an isolated environment).