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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.

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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.

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Build AI output validation systems with guardrails. TRIGGERS - Use when user needs help with ai-output-validator related tasks.

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Build AI output validation systems with guardrails. TRIGGERS - Use when user needs help with ai-output-validator related tasks.

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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.

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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

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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。

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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。

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