categorical-encoder
Pass
Audited by Gen Agent Trust Hub on Feb 16, 2026
Risk Level: LOW
Full Analysis
- [Overall Security] (SAFE): Analysis of the provided Python code snippets and documentation shows a standard set of machine learning utilities. No suspicious behaviors were detected across any of the 10 threat categories.
- [Data Handling] (SAFE): The functions operate on local data structures (Pandas DataFrames, NumPy arrays). There are no network calls, file system modifications outside of standard data processing, or attempts to access sensitive system files.
- [Dependency Analysis] (LOW): The code references standard libraries (
pandas,numpy,scikit-learn) and the widely-usedcategory_encoderspackage. No malicious or obfuscated dependency calls are present. - [Indirect Prompt Injection] (LOW): While the skill processes external data (machine learning datasets), the operations are limited to mathematical and logical transformations within a data science context. It lacks the capabilities (network, command execution) to be exploited via data poisoning.
Audit Metadata