protein-subcellular-localization-prediction-biot5
Pass
Audited by Gen Agent Trust Hub on Mar 25, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides biological sequence analysis capabilities using the BioT5 model within the OpenBioMed framework. Its behavior aligns with the stated purpose of predicting cellular localization from amino acid sequences.- [COMMAND_EXECUTION]: No unauthorized or dangerous command execution was found. The Python scripts are limited to environment configuration and running standard inference pipelines for machine learning.- [DATA_EXFILTRATION]: The skill does not access sensitive local configuration files (e.g., SSH keys, cloud credentials) or perform network operations to non-whitelisted or suspicious domains.- [PROMPT_INJECTION]: The skill ingests untrusted protein sequences through the Protein.from_fasta method. While this establishes a theoretical surface for indirect prompt injection given the multi-modal nature of BioT5, the risk is negligible as the task question is static and the model output is not used to drive sensitive agent actions.
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