8건 · 관련도순
Design a structured protocol for auditing AI-generated text against Ennis's six CT standards. Use when students need to critically evaluate AI output in any subject.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design a structured protocol for auditing AI-generated text against Ennis's six CT standards. Use when students need to critically evaluate AI output in any subject.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build AI output validation systems with guardrails. TRIGGERS - Use when user needs help with ai-output-validator related tasks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build AI output validation systems with guardrails. TRIGGERS - Use when user needs help with ai-output-validator related tasks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Check AI output before you trust or use it — where it's likely wrong, what to verify, and how to catch confident-sounding errors. Use when asked can I trust this AI answer, how do I verify what AI told me, fact-check this AI output, or is this AI response reliable. Produces a risk read on the specific output (the claims most likely to be wrong or made up), the parts that need independent verification vs the parts that are low-risk, how to actually verify each, the tells of AI hallucination and overconfidence, and a habit for building verification into your AI use — because AI is confidently wrong often enough that unchecked trust is a real risk.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
当想知道一段 AI 回答"哪些能直接用、哪些必须先验证、哪些只能当建议"时使用。按声明类型分四级——低风险草稿材料、观点与策略建议、可查证的事实声明、会改变状态的可执行指令——每级配一句默认处置动作；再按影响半径排序，给出最小的下一步检查。可执行类一律标"不能直接执行；先做代码审阅/沙箱测试/回滚准备"，其中破坏性或提权的命令排在最前。教的是一套可复用的复查习惯，不是替使用者把所有内容都核实一遍：本 skill 只分级、排序、定处置，要逐条核实走 ai-output-fact-checker，整段代码要做入库体检走 ai-code-onboarding-checklist。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
当拿到一段 AI 回答、准备直接复制去用之前使用。把回答拆成可检验的声明（链接、库名与版本、论文 DOI、命令行参数、API 名、数字、引文），按"用错了会炸多大"排序，为每条配一条最直接的核验路径；产出声明台账、核验计划和"现在可以用 / 必须先核实"两栏。专门防住引用了不存在的库、论文或命令这种直接复制就会出事的情况；包名存在不等于可信（幻觉出的名字可能已被人抢注），DOI 能解析也要标题对得上。不替使用者背书，核不了就写核不了。与 ai-answer-triage 的区别：那边只分级、定先查哪几条，这里逐条给核验路径；要判断一整段 AI 代码能不能跑，用 ai-code-onboarding-checklist。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.