explore-run

When to apply

• When the researcher explicitly authorizes exploratory runs.
• When the task is a small-subset validation, short-cycle training probe, batch sweep, idle-GPU search, or quick transfer-learning trial.
• When the output should rank candidate runs rather than certify trusted success.

When not to apply

• When the user wants trusted training execution or conservative verification.
• When there is no explicit exploratory authorization.
• When the task is repository setup, intake, or debugging.

Clear boundaries

• This skill owns exploratory execution planning and summary only.
• Use ai-research-explore instead when the task spans both current_research coordination and exploratory code changes.
• It may hand off actual command execution to minimal-run-and-audit or run-train.