Admet Prediction

What to consider before installing/using this skill: - Provenance: the skill owner and homepage are unknown. Prefer code from known sources for safety and reproducibility. - Missing files: SKILL.md references scripts/admet_filter.py and reference/pk-models.md which are not in the manifest; verify whether those are required and obtain them if needed. - Dependencies: the code requires RDKit; installing RDKit can be non-trivial and platform-dependent. Optional packages (deepchem, admet-x, admet-models) are listed but may not be needed — confirm which are actually used. - Inspect full scripts: before running, scan scripts/admet_predict.py for any network calls, subprocess execution, or filesystem writes outside expected output files. The visible portion uses RDKit only, but verify the remainder of the file. - Sandbox/testing: run the code in an isolated environment (container/VM) with non-sensitive inputs first to confirm behavior and outputs. - Data sensitivity: this skill handles chemical structures and predictions; if you plan to analyze proprietary molecules, confirm there are no hidden telemetry or upload steps and keep data local. - Reproducibility & validation: models are approximate — validate predictions experimentally before relying on them for decisions. If you want, I can: (1) search the remaining part of the script for network or shell calls, (2) check for any other missing referenced files, or (3) produce a short checklist / commands to safely run this skill in a sandbox.