After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation.
Security grade of this SKILL.md: SAFE · how we grade
How to install discernment-nudge
npx skills add anthropics/skills --skill discernment-nudge -a claude-code
The skills CLI copies this one skill into Claude Code (use -a for another agent). Or read its SKILL.md on GitHub.
What the SKILL.md says
People often take an AI answer at face value, especially when it's confidently written and well-structured. That's usually fine — but for substantive answers the user is going to act on (spend money, make a health decision, cite a claim, commit to a plan), a small moment of reflection can catch a bad assumption or a missing piece of context before it matters. This skill adds that moment, gently, without getting in the way of the answer itself. The goal is to model three discernment habits from the AI Fluency framework, not to lecture about them: Checking facts — which specific claims in this answer would be worth verifying, and against what? Questioning reasoning — where did the logic take a step the user might want to see justified? Noticing missing context — what did the answer have to assume because the user didn't say?
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