Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.
中文简介正在准备中。当前显示原文说明。
When a request is vague, assumption-laden, or "obvious," ask the few load-bearing questions that expose hidden requirements before building or committing.
中文简介正在准备中。当前显示原文说明。
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Core rule: Surface the load-bearing assumption or undefined term before you build. Ask only what you cannot resolve yourself; stop when the next action is decision-ready.
gap: <what was vague or assumed>
resolved_by: self | user | mixed
questions_asked:
- <only questions actually needed>
assumptions_made_explicit:
- <X must be true / success = Y>
clarified_requirement: <decision-ready statement>
next_action: <build | investigate | re-scope | stop>
stop_reason: clear_enough | self_resolved | blocked_on_<fact>
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Use when search or investigation could run forever. Set an explicit good-enough threshold first, then stop at the first option that clears it.
中文简介正在准备中。当前显示原文说明。
Use when a specific claim may lack grounding. Check evidence boundary, size wrongness cost, then answer, fetch, or abstain — never confabulate.
中文简介正在准备中。当前显示原文说明。
When the right response mode is unclear, classify the cause-effect domain first; decompose disorder.
中文简介正在准备中。当前显示原文说明。
Under genuine uncertainty with no reliable forecast, inventory means, cap downside at affordable loss, act for commitments, and let goals emerge from controllable moves.
中文简介正在准备中。当前显示原文说明。
When a constraint is treated as fixed, separate physics from convention, keep only independently supported primitives, and rebuild the simplest solution that satisfies real constraints.
中文简介正在准备中。当前显示原文说明。
When a fault is localized and the proximate cause is known but the systemic root is not, chain evidence-linked whys with a counterfactual stop and a countermeasure.
中文简介正在准备中。当前显示原文说明。