do-oop-auditlisted

# OOP / Data Modeling Audit Scans Python class definitions for 14 structural anti-patterns covering field semantics, object boundaries, inheritance design, naming consistency, and coupling. Framework-agnostic: works with Django, SQLAlchemy, Pydantic, dataclasses, and vanilla Python. Produces a severity-grouped findings report and pauses for human review. ## What this skill does 1. Scans the target path for all `.py` files containing class definitions 2. Runs 14 semantic checks against each class and its relationships 3. Produces a structured findings report organized by severity (CRITICAL, WARNING, INFO) 4. Pauses for discussion — no auto-fix, findings only ## Invocation ``` /do-oop-audit [path] [--framework django|sqlalchemy|pydantic|auto] [--severity critical|warning|info] ``` - `path`: Directory or file to audit. Defaults to current project root. - `--framework`: Force a framework context. Default is `auto` (detect from imports and base classes). - `--severity`: Minimum severity to include in the report. Default: show all. ## Quick start 1. **Enumerate**: Find all `.py` files in the target path containing `class ` definitions 2. **Detect framework**: Identify Django / SQLAlchemy / Pydantic / dataclasses / vanilla (see Framework Detection below) 3. **Check**: Run each of the 14 audit checks against every class and cross-class relationship 4. **Filter**: If `--severity` is set, exclude findings below the threshold 5. **Report**: Present findings grouped by severity 6