Additional reporting by Jack Gray
Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
，详情可参考safew官方版本下载
The common pattern across all of these seems to be filesystem and network ACLs enforced by the OS, not a separate kernel or hardware boundary. A determined attacker who already has code execution on your machine could potentially bypass Seatbelt or Landlock restrictions through privilege escalation. But that is not the threat model. The threat is an AI agent that is mostly helpful but occasionally careless or confused, and you want guardrails that catch the common failure modes - reading credentials it should not see, making network calls it should not make, writing to paths outside the project.
第一百三十八条 公安机关及其人民警察不得将在办理治安案件过程中获得的个人信息，依法提取、采集的相关信息、样本用于与治安管理、查处犯罪无关的用途，不得出售、提供给其他单位或者个人。
今年前三季度，洛阳钼业营业收入为1454.85亿元，和上年同期相比（同比）减少5.99%；归属于上市公司股东的净利润为142.80亿元，同比增长72.61%，创同期历史新高，并超越去年全年。