alterlab-deepchem

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Audited by Snyk on Apr 12, 2026

Risk Level: MEDIUM
Full Analysis

MEDIUM W011: Third-party content exposure detected (indirect prompt injection risk).

  • Third-party content exposure detected (high risk: 0.70). The skill explicitly loads public MoleculeNet datasets (dc.molnet.load_* used in SKILL.md and scripts like scripts/graph_neural_network.py) and downloads pretrained models from third-party hubs (dc.models.HuggingFaceModel with 'seyonec/ChemBERTa-...' in scripts/transfer_learning.py and GroverModel), which are untrusted public sources and are ingested at runtime to drive model training/prediction and thus can materially influence agent behavior.

Issues (1)

W011
MEDIUM

Third-party content exposure detected (indirect prompt injection risk).

Audit Metadata
Risk Level
MEDIUM
Analyzed
Apr 12, 2026, 12:46 AM
Issues
1
Security Audit — snyk — alterlab-deepchem