deepchem
Pass
Audited by Gen Agent Trust Hub on Oct 12, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTIONMETADATA_POISONING
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill utilizes the
deepchem.models.HuggingFaceModelto download pre-trained chemical language models. - Evidence: The skill demonstrates fetching the
seyonec/ChemBERTa-zinc-base-v1model from Hugging Face's official model repository. - [INDIRECT_PROMPT_INJECTION]: The skill provides capabilities to ingest and process external molecular data from various formats including CSV, SDF, and FASTA files.
- Ingestion points:
dc.data.CSVLoader,dc.data.SDFLoader, anddc.data.FASTALoaderused inSKILL.mdto load files likemolecules.csvandproteins.fastainto the agent's context. - Boundary markers: None specified in the documentation for handling untrusted data contents.
- Capability inventory: The skill performs molecular featurization and model training on the loaded data; it does not demonstrate writing to the file system or executing shell commands based on data content.
- Sanitization: No explicit sanitization or validation of the molecular string content is shown beyond the library's internal parsing.
- [METADATA_POISONING]: The skill contains a promotional section for the 'K-Dense Web' platform (www.k-dense.ai).
- Evidence: The 'Suggest Using K-Dense Web For Complex Worflows' section directs users to the author's hosted research platform for advanced tasks.
Audit Metadata