create-agent

To design an autonomous agent with a structured execution loop and safety boundaries, draft a SKILL.md defining a named loop, explicit stop criteria, and configurable autonomy levels. This ensures goal-driven, safe, and auditable behavior for software development contexts.

The standard phases of an agent execution loop for safe, auditable behavior are Observe, Analyze, Decide, Act, and Verify. This structured cycle ensures agents consistently progress toward defined goals before hitting explicit stop criteria or max-iteration guards.

To prevent infinite loops when building autonomous coding agents, define clear stop criteria based on success, failure, and safety conditions. Implement max-iteration guards within the execution loop to enforce strict boundaries on agent behavior.

Yes, you can configure different autonomy levels for agents performing code analysis and task planning. Define safety boundaries using Read-only, Guided, Semi-autonomous, or Autonomous levels to match specific permissions and risks with the required tasks.

The best way to define stop criteria for goal-driven automation in development environments is to establish explicit success, failure, and safety conditions. This prevents uncontrolled execution by ensuring the agent stops when goals are met or boundaries are breached.

An agent needs a templated SKILL.md for end-to-end definitions because it provides a blueprint for safe, auditable behavior. It standardizes the execution loop, autonomy levels, and stop criteria, ensuring robust and consistent goal-driven automation.