Loop cards separate the operating method from skills and MCP: what repeats, how progress is checked, and when a human should take over.
Coding, research, and QA work where progress must be checked against evidence instead of subjective completion.
Risk: A weak verifier lets the loop keep moving even when outputs drift from the original goal.
Teams adopting autonomous agents in repos, support operations, or workflow automation without giving agents unchecked write access.
Risk: If the gate is too broad, teams will ignore it; if it is too narrow, agents can still take high-impact actions without review.
Long-running code repair, data gathering, and research loops where the agent may repeat similar actions after ambiguous failure.
Risk: Without a visible budget and stop condition, a loop can consume time and tokens while producing little new evidence.
