py-test-bot

Automating role-specific BioETL workflow execution requires applying profile-driven governance, memory context, and orchestration constraints to guide agent activities deterministically. This Skill enforces those rules by referencing the primary profile, orchestration guide, and shared memory context for auditable runs.

Profile-driven governance in agent workflow orchestration enforces role-based constraints by referencing a primary agent profile and shared memory context. This mechanism ensures deterministic, auditable runs by aligning agent activities with established orchestration rules and project context.

To start a constrained and auditable agent run in BioETL, open and follow the primary agent profile file. This triggers the workflow, which automatically references the team orchestration guide and shared memory context to ensure traceability and alignment.

Yes, BioETL workflow automation explicitly references shared project memory context to ensure alignment and traceability. It integrates memory context alongside orchestration constraints and profile-driven governance to enable deterministic and auditable execution.

Yes, an orchestration guide is required to execute BioETL agent workflows. The automation references the team orchestration file to apply governance rules and orchestration constraints, ensuring that agent activities remain constrained and auditable during execution.