testing-reality-checker

To enforce role adherence for AI agents, this skill adopts the testing-reality-checker role, applying governance rules and mission specifications to generate consistent, role-compliant outputs across projects.

A testing reality-checker agent is a specialized role definition that enforces governance and reference alignment during task execution, ensuring outputs like QA findings and reports strictly follow predefined mission rules.

You generate role-compliant QA findings by consulting the agent definition reference file to guide the task execution, ensuring all deliverables align with the testing-reality-checker's specified mission and rules.

Yes, you can use this role enforcement across multiple projects. It applies governance and reference alignment to ensure consistent, role-compliant task planning and outputs whenever the agent remit is required.

No, the testing reality-checker does not require external dependencies. It operates by adopting the agent role and referencing the internal markdown agent definition to guide task execution and deliverables.

AI agent outputs deviate from governance rules when role adherence is not enforced. This skill solves the problem by applying the testing-reality-checker definition as the primary reference to align execution with its remit.