MLOps Validation

What problem does it solve?

This Skill helps teams enforce code quality, reliability, and security by providing a comprehensive validation framework that combines static typing, linting, automated tests, structured logging, and security scanning.

Core Features & Use Cases

• Static Analysis & Typing: Enforces strict typing, runtime validation with pandera/pydantic, and no use of Any.
• Linting & Formatting: Ruff-based checks and consistent style across the codebase.
• Testing Strategy: Pytest with coverage reporting to guard core logic.
• Observability & Security: Structured logging with loguru and security scanning with bandit; CI integration.
• Use Case: Pre-merge validation, CI pipelines, audit-ready reports.

Quick Start

Install the required tools in your environment: ty, ruff, pytest, loguru, pandera, pydantic, bandit. Add a pyproject.toml with Ruff and Ty configurations, and create a tests/ directory mirroring src/. Integrate Bandit in CI and enable Dependabot for dependency updates.