tooluniverse-metabolomics-analysis

Pass

Audited by Gen Agent Trust Hub on Jul 30, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements standard metabolomics analysis procedures using well-established scientific libraries such as Pandas, Scikit-learn, SciPy, and Statsmodels. The code logic is transparent and matches the described purpose of the skill.
  • [SAFE]: Data ingestion is handled through standard file loading mechanisms (CSV/TSV via Pandas) for scientific datasets. While this represents an indirect ingestion surface, the processing is restricted to numerical and categorical data for statistical analysis.
  • [SAFE]: External database interactions (HMDB, KEGG, PubChem) are performed via the tooluniverse library, which is a resource owned by the vendor (FreedomIntelligence). These integrations are necessary for metabolite identification and pathway enrichment within the scientific context of the skill.
  • [SAFE]: No obfuscation, persistence mechanisms, or unauthorized privilege escalation patterns were found. The workflows describe typical data science and bioinformatics pipelines.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 30, 2026, 03:10 AM