What problem does it solve?
Prevents bugs, inconsistencies, and security/testing gaps by enforcing mandatory “gold standards” for Kailash workflows, node design, imports, parameter passing, error handling, and release-critical regression coverage.
Core Features & Use Cases
- Absolute imports & canonical workflow contracts: Enforces fully-qualified imports, the 4-parameter connection pattern, build-before-execute, and consistent result access to avoid integration drift.
- Tiered testing compliance (NO mocking in Tiers 2–3): Ensures integration/E2E tests run against real infrastructure rather than mocks, reducing false confidence.
- Production-grade safety & reliability: Requires explicit error handling, cleanup in
finally, secure patterns (no hardcoded secrets, input validation, SQL injection prevention), and documentation that explains “WHY” with examples.
- Use cases: Best-practice enforcement for workflow design, custom node development, security hardening, and consistent regression testing for public
km.* surfaces.
Quick Start
Ask the AI to apply the gold-standards checklist to your workflow request, including import style, connection/parameter patterns, error handling, and which test tier should use real infrastructure.