tooluniverse-small-molecule-discovery

Pass

Audited by Gen Agent Trust Hub on Sep 16, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTIONDYNAMIC_EXECUTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill instructs the agent to install the tooluniverse[ml] package via pip to enable machine-learning-based ADMET predictions.
  • [COMMAND_EXECUTION]: The skill encourages the agent to write and execute Python code using bash for data processing, statistical analysis (using pandas, scipy, statsmodels), and visualization (matplotlib).
  • [INDIRECT_PROMPT_INJECTION]: The skill processes external data such as chemical names and SMILES strings from users or scientific databases which could serve as an attack surface for indirect prompt injection.
  • Ingestion points: Parameters like compound_name, smiles, and query in tools like PubChem_get_CID_by_compound_name and ChEMBL_search_molecules.
  • Boundary markers: Absent; there are no instructions to the agent to treat input identifiers as untrusted data or ignore embedded commands.
  • Capability inventory: Shell command execution (Bash), Python execution, package management (pip), and network access to scientific APIs.
  • Sanitization: Absent; no validation or escaping of SMILES strings or chemical names is described before they are passed to tools or included in analysis scripts.
  • [DYNAMIC_EXECUTION]: The skill instructs the agent to generate and run Python scripts at runtime for data enrichment and scoring.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 16, 2026, 06:31 AM