I completely ignored Anthropic’s advice and wrote a more elaborate test prompt based on a use case I’m familiar with and therefore can audit the agent’s code quality. In 2021, I wrote a script to scrape YouTube video metadata from videos on a given channel using YouTube’s Data API, but the API is poorly and counterintuitively documented and my Python scripts aren’t great. I subscribe to the SiIvagunner YouTube account which, as a part of the channel’s gimmick (musical swaps with different melodies than the ones expected), posts hundreds of videos per month with nondescript thumbnails and titles, making it nonobvious which videos are the best other than the view counts. The video metadata could be used to surface good videos I missed, so I had a fun idea to test Opus 4.5:
--streaming Use streaming mode (eou/nemotron models)
，这一点在一键获取谷歌浏览器下载中也有详细论述
（一）在国家举行庆祝、纪念、缅怀、公祭等重要活动的场所及周边管控区域，故意从事与活动主题和氛围相违背的行为，不听劝阻，造成不良社会影响的；
今天，当人们更普遍地参与、建设，当发展的红利不断转化为百姓的获得感，无数人的主体性便转化为无穷的创新创造，在千万缕一针一线中织出锦绣山河。
// 易错点2：判断条件是<=（相等温度不算更高），且通过索引取温度