SkillForgeBench introduces a benchmark that uses agent skills as execution blueprints to balance broad domain coverage with procedural depth. It is described in arXiv:2610.14918v1.

#AgentEval #AIBenchmarks #LLMAgents #PromptEngineering
https://arxiv.org/abs/2610.14918

New arXiv work shows 10.7% of passing SWE-agent trajectories are "Lucky Passes" with regressions or blind retries, highlighting that binary pass/fail signals hide messy agent behavior. AgentLens offers…

#SWEAgents #AgentEval #DeveloperTools #AIEngineering
https://arxiv.org/abs/2605.12925