I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:
7月1日，甘肃天水麦积区褐石培心幼儿园因违规使用添加剂，导致上百名幼儿血铅异常甚至中毒的事件引发全国关注。官方通报称，事件原因是幼儿园提供的三色枣发糕、玉米肠卷等食品中的添加剂超标。期间，因天水当地检测结果与幼儿在西安、上海等地异地就医检测结果差异悬殊、天水过往曾发生同类铅中毒事件等因素，引发争议与疑虑。
，这一点在safew官方版本下载中也有详细论述
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'Extraordinary' scale