Self-Evolving Skills via Surrogate-Guided Solve-and-Reproduce
Quick summary
arXiv:2608.28638v1 Announce Type: new Abstract: Agent skills are portable packages of instructions and resources an agent consults at deployment. Self-evolving them fails in two ways today. First, skills evolved from scratch underperform human-curated ones and, on a weak model, using no skill at all. Second, an evolution-time pass records one lucky trajectory that a fresh stochastic agent often fails to reproduce at deployment. We present reSolve, a per-task, oracle-in-the-loop framework built on three components. It decouples interactive solving from a self-contained deliverable that is indep
Key takeaways
- arXiv:2608.28638v1 Announce Type: new Abstract: Agent skills are portable packages of instructions and resources an agent consults at deployment.
- Self-evolving them fails in two ways today.
- First, skills evolved from scratch underperform human-curated ones and, on a weak model, using no skill at all.
Why it matters
“Self-Evolving Skills via Surrogate-Guided Solve-and-Reproduce” should be evaluated beyond branding and benchmark scores. Its practical importance will emerge in task accuracy, latency, unit cost, safety and integration with real workflows.
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