AI RESEARCH
ClawForge: Generating Executable Interactive Benchmarks for Command-Line Agents
arXiv CS.AI
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ArXi:2605.14133v1 Announce Type: new Interactive agent benchmarks face a tension between scalable construction and realistic workflow evaluation. Hand-authored tasks are expensive to extend and revise, while static prompt evaluation misses failures that only appear when agents operate over persistent state. Existing interactive benchmarks have advanced agent evaluation significantly, but most initialize tasks from clean state and do not systematically test how agents handle pre-existing partial, stale, or conflicting artifacts.