nvmolkit-usage
Pass
Audited by Gen Agent Trust Hub on Sep 26, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill content provides legitimate guidance for
nvmolkit, a library for GPU-accelerated cheminformatics operations developed by the vendornvidia-bionemo. - [EXTERNAL_DOWNLOADS]: The skill references official documentation and installation sources that are consistent with the vendor identity. Specifically, it points to
nvidia-bionemo.github.ioandgithub.com/NVIDIA-BioNeMo. It also correctly directs users to well-known services such aspytorch.organd standard package registries likeconda-forge. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to process user-supplied molecular datasets and SMILES strings.
- Ingestion points: Data enters the system via SMILES parsing in
SKILL.mdandreferences/advanced-usage.md. - Boundary markers: The instructions explicitly advise to "Parse SMILES with RDKit and reject failed parses," establishing a validation checkpoint for external data.
- Capability inventory: The skill uses standard file system operations for results (
Path.write_text) and GPU tensor manipulation throughtorch. - Sanitization: The use of RDKit's molecule parser acts as a robust sanitization layer for molecular inputs.
- [METADATA_POISONING]: The benchmark documentation notes a minor linting observation regarding the author field format, which is a best-practice violation but does not impact security.
Audit Metadata