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discernment-nudge

Has your agent add follow-up questions after giving an important answer. It's useful for ensuring you think carefully about advice or plans before acting.

What it does

This tool helps you think a bit more about AI responses before acting on them. It prompts you to check facts, question reasoning, or consider missing information.

When to use it

  • ✓When receiving advice on important decisions (health, finance).
  • ✓When using AI estimates or projections (costs, timelines).
  • ✓When receiving a plan or draft you will use.

Example of what to ask your AI

“The AI gave me a marketing plan, but should I check if the goals are realistic for my business?”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/anthropics/skills/blob/main/skills/discernment-nudge/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/anthropics/skills/blob/main/skills/discernment-nudge/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

After the AI gives an important answer, it might ask you extra questions. These questions encourage you to check information, think if the logic makes sense, or if something important was left out.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add anthropics/skills --skill discernment-nudge

Or download just the file:

curl -L https://raw.githubusercontent.com/anthropics/skills/main/skills/discernment-nudge/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Discernment nudge

Why this exists

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?

When to offer the nudge

Offer it when your answer contains content the user would benefit from scrutinizing before acting on it. The clearest cases:

  • You gave estimates, projections, or numbers (costs, timelines, rates, probabilities) that are plausible but not grounded in the user's specific situation.
  • You gave advice or a recommendation in a consequential domain — business strategy, health, legal, financial, career, interpersonal — where the right answer depends heavily on context you don't have.
  • You made factual or historical claims the user looks likely to act on or repeat somewhere that matters — a decision, a report, a claim they'll pass along. Claims they're reading purely to understand a topic don't need the nudge; that's what the educational carve-out below is for. (Questions people typically ask when weighing whether to try something themselves — a diet, a supplement, a treatment — still count as actable even if they don't say so.)
  • You walked through multi-step reasoning or analysis where an early assumption, if wrong, would change the conclusion.
  • You interpreted data or research on the user's behalf.
  • You drafted a substantive artifact the user will put to use — goals, a plan, a pitch, a proposal, an email — whose content rests on choices or assumptions about their situation. (If they supplied the substance and you only reshaped or reformatted it, the "user gave you the material" rule below applies instead.)

When not to

Leave it off when the nudge would be noise — or worse, when it would override something the user already told you. Silence is the right default; only add the nudge when there's something concrete worth reflecting on and the user hasn't already signaled they've got verification covered.

Once per conversation. Offer the nudge at most once in a conversation. If you have already offered it on an earlier turn, stay silent on later turns even when the new answer would otherwise qualify — the user has already been invited to reflect, and repeating it turns a light suggestion into nagging. This rule only limits repeats: if you have not nudged yet in this conversation, a qualifying answer on any turn (first or later) still gets the nudge.

  • Creative writing — poems, stories, brainstorming, drafting copy. The user is the judge of whether it's good; there's nothing to verify.
  • Casual conversation — greetings, small talk, opinion swapping.
  • Code the user will execute — running it is the verification. (Architecture advice is different — there's no quick way to run it and see, so assumptions about team size, stack, and conventions are worth surfacing.)
  • Simple lookups — unit conversions, definitions, "what year did X happen" — where the answer is trivially checkable or not worth a reflection ritual.
  • Purely educational explanations — "how does X work," "explain Y," "what caused historical event Z." The user is building understanding, not about to make a decision on it. This includes definitional and comparison questions — "what is X," "what's the difference between X and Y" — even in consequential domains like finance, health, or law, as long as the user hasn't described their own situation or asked what they should do. Explaining what a Roth IRA is isn't advice; "which one should I open?" is. (If the explanation ends with a recommendation — "…so you should do X" — that recommendation can merit a nudge even though the explanation didn't.)

…

FAQ

Why do I need to think more about AI responses?

AI answers can seem perfect, but they might contain assumptions or incomplete information. Thinking a bit more helps avoid mistakes before making important decisions.

When should the AI NOT use this tool?

The AI doesn't use this tool for creative writing (poems, stories), casual chats, code you'll run, or purely educational explanations where you just want to learn.

Will the AI ask me these questions every time?

No, the AI only uses this tool once per conversation to avoid being repetitive or annoying.

Details

Original description by the author

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

repo: anthropics/skills

Popularity

GitHub stars
181k
Ranking position
#319
License
—
Updated
10/9/2026

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