goal-prompt-builder

To prevent infinite loops in Claude Code, you must design objective, verifiable completion conditions for autonomous tasks. This involves setting measurable end states and explicit safety constraints, such as turn limits, to stop runaway token consumption.

Verifiable completion conditions are measurable criteria that prove a task is finished via command-line output. They transform subjective goals into objective requirements, like specific grep counts or test suite exit codes, ensuring autonomous agents complete tasks fully.

To set up goal prompts for API migrations, describe your desired outcome and ask the agent to generate a verifiable completion condition. The generated goal should require specific grep counts and passing test suite exit codes before the task finishes.

Yes, the goal command supports safety guardrails for token consumption by incorporating turn limits and constraints. These guardrails prevent superficial results and runaway token usage during long-running, multi-turn autonomous engineering workflows.

You need explicit objective verification when performing complex, multi-turn engineering workflows requiring autonomous task completion. It is essential for large-scale operations where you must verify end states through command-line output to avoid infinite loops.