[Submitted on 15 Oct 2026]
Title:RealCLI: Toward a Unified Evaluation of Human-Agent Collaboration for CLI Agents
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Abstract:Command-line interface (CLI) agents increasingly execute longer-horizon tasks, yet existing benchmarks either assume that user instructions remain fixed throughout execution or evaluate task outcomes without capturing runtime collaboration quality. In this paper, we present REALCLI, a paired benchmark that unifies the evaluation of task execution and human-agent collaboration quality on realistic CLI tasks. To comprehensively measure collaboration, REALCLI builds a five-dimensional framework, operationalized into 22 sub-dimensions and 51 interaction scenario templates. REALCLI provides two modes for paired comparison: REALCLI-EXEC supplies complete specifications upfront, whereas REALCLI-COLLAB introduces a scripted user that delivers progressive information, corrections, constraint revisions, and authorization decisions. Evaluations reveal profound capability gaps in frontier agents: the best configuration attains an average score of only 49.2%, and when evaluated by the joint collaboration score ($J_{\mathrm{collab}}$), the peak performance reaches merely 37.6%. These results show that task effectiveness diverges sharply from collaboration quality, with models consistently struggling in steerability, trust calibration, and safety boundary management. REALCLI provides a rigorous, reproducible foundation for measuring and advancing collaborative CLI agents.
Subjects:
Computation and Language (cs.CL)
Cite as: arXiv:2610.22507 [cs.CL]
(or arXiv:2610.22507v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2610.22507
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Jian Yang [view email] [v1] Thu, 15 Oct 2026 18:03:13 UTC (1,243 KB)
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