organize-ml-workspace

Pass

Audited by Gen Agent Trust Hub on May 28, 2026

Risk Level: SAFECOMMAND_EXECUTION
Full Analysis
  • [COMMAND_EXECUTION]: The skill uses environment managers such as pixi, uv, or poetry to initialize projects, manage dependencies, and install the local package in editable mode.- [COMMAND_EXECUTION]: Generates and executes temporary Python scripts in a scratch/ directory for introspection tasks, such as extracting metrics from machine learning reports and updating project narratives.- [SAFE]: Implements comprehensive safety gates (G-TABULAR, G-PKG-NAME, G-ENV-MGR) and a mandatory pre-flight checklist to ensure user confirmation and project environment readiness before making changes.- [SAFE]: Utilizes predefined templates for scaffolding core project files and experiments, ensuring a standardized and predictable code structure.- [SAFE]: Strictly defines the responsibilities of each module (e.g., data.py, pipeline.py, evaluate.py) to prevent cross-contamination of logic and ensure experiment reproducibility.- [SAFE]: Processes local configuration files like pyproject.toml to detect existing project names and layouts, with mandatory user confirmation for any values used.
Audit Metadata
Risk Level
SAFE
Analyzed
May 28, 2026, 08:58 PM
Security Audit — agent-trust-hub — organize-ml-workspace