Delegate loop termination to Claude
Run an agentic loop until a dedicated Claude evaluator judges your condition met, delegating stop logic from shell parsing to model inference.
/goal CONDITION directive evaluated by a dedicated Claude Haiku judge each turn. The orchestrator stops parsing model output entirely: it spawns one long-lived claude -p "/goal CONDITION" session, the /goal evaluator reads the running transcript and answers "is the condition satisfied yet?" turn by turn, and the Stop hook blocks termination until the evaluator says yes. ralph.sh has been reduced to a one-line deprecation shim that exec s goal.sh . Decision moved from a shell-level grep into an explicit model call with a schema-validated yes/no — the textbook ZFC move
claude-code
More automation loops
Run workflows with dynamic sub-agents
Split a task into packets, run sub-agents in parallel, synthesize results, and verify completion.
/goal loop and verify until complete
automationlow risk
Run agent turns until goal met
Agent executes repeated turns toward a condition, with a lightweight evaluator checking progress after each turn until the goal is reached.
/goal <condition turns a prompt into a durable objective. Thanos immediately starts a turn toward the condition, and after each turn a fresh, tool-less side-channel evaluator (a one-shot completeSimple call, not a subagent — so no extra agent turn and no re-entrancy) reads the last turn's evidence and returns MET / NOT MET . NOT MET auto-continues another turn with the reason as guidance; MET clears the goal and records the achievement. Unparseable evaluator output is treated as NOT MET (fail-safe: it never declares a false "done
automationmedium risk
Run agent until goal met
Queue agent turns with goal context until your objective is achieved, treating the goal as untrusted data.
/goal <objective , after /goal resume , and after every agent turn that leaves the goal active , the extension queues Codex's goal continuation prompt as hidden model-visible context. The objective is XML-escaped and wrapped as untrusted user data so it does not become higher-priority instructions
automationlow risk