code-validation-sandbox

Code validation across Python, Node.js, and Rust uses intelligent layer-aware strategies that adapt to your teaching context. This Skill automatically detects language and applies syntax checks, runtime validation, functional equivalence testing, and end-to-end integration testing through Docker-based sandboxes, delivering actionable diagnostics tied to learning outcomes.

Layer-aware validation progresses from syntax checks (Layer 1) through runtime validation (Layer 2), functional equivalence (Layer 3), and end-to-end integration testing (Layer 4). Use it when teaching multi-language concepts and need confidence that code examples work correctly at each depth level without manual testing.

Yes. This Skill handles Docker-based sandbox orchestration automatically. It manages language detection, environment setup, and execution within isolated containers, so you focus on content rather than infrastructure configuration.

The Skill validates Python, Node.js, and Rust code across four layers: syntax analysis, runtime checks, functional equivalence testing, and end-to-end integration scenarios. Each layer provides diagnostics explaining why validation matters to your teaching goal.

Beyond syntax checking, this approach uses AST parsing and runtime execution in Docker sandboxes to catch logic errors, runtime failures, and integration issues. Layer-aware strategies let you choose validation depth—from quick syntax checks to full functional testing—matched to your educational context.