What problem does it solve?
Unreliable code deployments caused by skipped validation, incomplete test coverage, uncaught bugs, and uncleaned test artifacts lead to broken production features and wasted developer time. This Skill enforces consistent, deterministic validation checks to catch issues before they reach production, ensuring code changes meet all acceptance criteria and quality standards.
Core Features & Use Cases
- 5 validation sub-modes: Covers post-implementation verification gates, post-deploy smoke testing, reproducibility checks for reported failures, test-data hygiene cleanup, and lightweight-lane live-proof validation for small tickets.
- Enforced quality guardrails: Requires empirical test coverage, protected-path compliance, reproducible evidence, and clean test artifacts before any deploy can be approved.
- Use Case: An AI development team using FuseBase Flow can use this Skill to automatically validate that a new feature passes all acceptance criteria, has no unapproved changes to protected files, and leaves no test artifacts in the codebase before merging.
Quick Start
Use the validation-and-qa skill to run a full pre-deploy verification gate for the current code change and output a pass/fail report to the operator.