molfeat
Pass
Audited by Gen Agent Trust Hub on Jun 13, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill facilitates the installation of the
molfeatlibrary and its optional extras (e.g.,molfeat[all],molfeat[dgl],molfeat[transformer]) directly from PyPI. It also identifies themap4featurizer as an external dependency hosted on the officialreymond-groupGitHub repository. - [COMMAND_EXECUTION]: The instructions utilize
uv pipfor package management and standard shell utilities likegrepfor navigating reference documentation. These are routine development tasks consistent with the skill's purpose as a cheminformatics setup tool. - [DATA_EXPOSURE]: The skill includes explicit security best practices in its documentation, specifically advising against the use of
picklefor caching due to insecure deserialization risks. It correctly suggests using NumPy'snp.savezas a secure alternative for storing numerical embeddings. - [SAFE]: The referenced domains (datamol.io, valencelabs.com, pypi.org) and GitHub organizations (datamol-io, reymond-group) are established and reputable sources within the scientific and machine learning communities.
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