tooluniverse-structural-proteomics
Pass
Audited by Gen Agent Trust Hub on Oct 7, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTIONCOMMAND_EXECUTION
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process data from various external biological databases such as PDB, AlphaFold, GPCRdb, SAbDab, and ProteomeXchange.
- Ingestion points: External data is retrieved via tools such as
RCSBData_get_entry,alphafold_get_annotations,ProteomeXchange_get_dataset, andBindingDB_get_ligands_by_uniprot. - Boundary markers: The instructions do not define specific delimiters or provide warnings to the agent regarding potential instructions embedded within the metadata or annotations of the retrieved records.
- Capability inventory: The agent has the capability to write and execute Python code via a Bash interface to analyze the retrieved data.
- Sanitization: There are no explicit instructions for sanitizing or validating the external content before it is interpolated into analysis scripts or reports.
- [DYNAMIC_EXECUTION]: The skill explicitly directs the agent to "write and run Python code via Bash" for computation tasks including statistics, data processing, and scoring. While this is the primary purpose of the skill for druggability assessment, it involves the runtime generation and execution of scripts.
- [COMMAND_EXECUTION]: The instructions involve the use of shell commands (via Bash) to run Python analysis pipelines using libraries like pandas, scipy, and statsmodels.
Audit Metadata