请问HN：NEGATIVESKILLS.md 文件是否出现了新的趋势？
我越来越多地遇到代理因基于正则表达式的读取而选择某些技能的情况，因为将它们全部放在上下文中会效率较低，且会遗漏负面信息，导致与预期完全相反的结果。就像扩散模型中的负面提示一样，我觉得列出显式反模式和不良版本的负面技能文件可以使具有较少图节点的模型表现得更好。
我可能错过了一些进展，但对于最近的模型，有没有被接受或正在形成的方式来实现这一点？
查看原文
I am increasingly hitting cases where agents pick something from skills in part due to regex-based reading, since putting them all in context would be less efficient, leave out the negative, and do something exactly opposite of what is intended. Just like negative prompts for diffusion models, I feel like a negative-skills file listing explicit antipatterns and bad versions could enable harnesses with fewer graph nodes to perform better.<p>I might be missing some developments, but is there an accepted/shaping way to do this with recent models?