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A Foreword on AGENTS.md#One aspect of agents I hadn’t researched but knew was necessary to getting good results from agents was the concept of the AGENTS.md file: a file which can control specific behaviors of the agents such as code formatting. If the file is present in the project root, the agent will automatically read the file and in theory obey all the rules within. This is analogous to system prompts for normal LLM calls and if you’ve been following my writing, I have an unhealthy addiction to highly nuanced system prompts with additional shenanigans such as ALL CAPS for increased adherence to more important rules (yes, that’s still effective). I could not find a good starting point for a Python-oriented AGENTS.md I liked, so I asked Opus 4.5 to make one:
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We are aware of two mistakes in our efforts to verify the signatures in the form so far. One person who was not an employee of OpenAI or Google found a bug in our verification system and signed falsely under the name "You guys are letting China Win". This was noticed and fixed in under 10 minutes, and the verification system was improved to prevent mistakes like this from happening again. We also had two people submit twice in a way that our automatic de-duplication didn't catch. We do periodic checks for this.
Second, identify your top five most important pieces of content—articles that address core topics for your audience or drive significant traffic currently. These become your initial optimization targets. Don't try to optimize everything at once. Focus on making these five pieces as strong as possible for AI citation.，推荐阅读下载安装 谷歌浏览器 开启极速安全的 上网之旅。获取更多信息
Раскрыты подробности похищения ребенка в Смоленске09:27。关于这个话题，夫子提供了深入分析
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