scientific-pipeline-scaffold

Pass

Audited by Gen Agent Trust Hub on Jul 15, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns or security vulnerabilities were detected. The skill provides boilerplate Python code for scientific pipelines, focusing on reproducibility and organization.
  • [COMMAND_EXECUTION]: The skill uses standard file system operations via pathlib.Path.mkdir to create local directories (data, figures, results). These operations are scoped to the script's execution directory and follow best practices for data management.
  • [DYNAMIC_EXECUTION]: The code includes a dynamic import of the standard sys module (__import__("sys").version) for logging the Python version in a summary file. This is a common and safe utility pattern in this context.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 15, 2026, 03:25 AM
Security Audit — agent-trust-hub — scientific-pipeline-scaffold