data-exploration-visualization

Pass

Audited by Gen Agent Trust Hub on May 16, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: Comprehensive analysis of the 11 provided files reveals that the skill is a legitimate implementation of an automated Exploratory Data Analysis (EDA) and machine learning pipeline. It adheres to standard data science practices and provides transparent functionality for various domains like medicine and finance.- [REMOTE_CODE_EXECUTION]: Static analysis flagged the use of __import__() in quick_test.py and examples/quick_start_example.py. Investigation shows these are used for safe dependency verification by iterating over a hardcoded list of required library names. Additionally, the use of joblib for model persistence and jinja2 for HTML report generation is standard for this type of utility and is implemented without exposing unsafe input vectors.- [EXTERNAL_DOWNLOADS]: The skill requires several common third-party Python packages. Instructions for installing these via pip from official registries are provided in the documentation. No suspicious remote code execution or downloads from untrusted sources were found.- [COMMAND_EXECUTION]: The skill leverages the Bash tool to perform routine tasks such as environment setup and running test scripts. All shell interactions are part of the intended developer workflow and do not include any obfuscated or malicious commands.- [DATA_EXFILTRATION]: Although the skill is designed to process potentially sensitive medical and financial data, it does not contain any network operations directed at external or non-whitelisted domains. All data processing and report generation occur within the local environment.
Audit Metadata
Risk Level
SAFE
Analyzed
May 16, 2026, 07:07 PM
Security Audit — agent-trust-hub — data-exploration-visualization