scientific-protein-design
Pass
Audited by Gen Agent Trust Hub on Jun 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a template and instructional guide for protein design workflows. It provides functional Python code using established scientific libraries (
torch,esm). - [DATA_EXFILTRATION]: No sensitive file access or unauthorized network exfiltration patterns were identified. External tools referenced (UniProt, InterPro, Proteins API) are standard, well-known scientific data providers.
- [REMOTE_CODE_EXECUTION]: No remote code execution vectors, such as
eval(),exec(), orcurl | bashpatterns, are present in the documentation or code snippets. - [PROMPT_INJECTION]: The instructions focus entirely on scientific methodology and do not contain attempts to override agent safety protocols or bypass constraints.
- [CREDENTIALS_UNSAFE]: No hardcoded API keys, tokens, or sensitive credentials were found in the skill content.
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