discernment-nudge

discernment-nudge is a skill for Claude Code from guanyang/open-agent-hub. It costs 203 tokens per session (2,422 once invoked), scanned A, original, MIT.

A short reflection step offered after advice, plans, drafts, estimates, or other substantive answers that someone may act on. It prompts the reader to check facts, reasoning, and missing context.

In plain words
What is it for?
Use it after preparing plans, recommendations, factual analyses, projections, or other decisions where checking the answer could prevent a mistake.
Why use it?
Confident answers can be accepted without enough scrutiny, especially when they contain estimates or recommendations. The reflection helps reveal assumptions and uncertainty before action.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the open-agent-hub plugin — 103 skills, 3 commands, 5 agents, 6 MCP servers shipped together

Good fit Use it after preparing plans, recommendations, factual analyses, projections, or other decisions where checking the answer could prevent a mistake.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/guanyang/open-agent-hub/discernment-nudge
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add guanyang/open-agent-hub --skill discernment-nudge
Clone the repo
git clone --depth 1 https://github.com/guanyang/open-agent-hub

Made for: Claude Code.

Or install open-agent-hub, the plugin that ships this one along with the rest of its 103 skills, 3 commands, 5 agents, 6 MCP servers.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for discernment-nudge

README.md
[![agentmods](https://agentmods.dev/badge/skills/guanyang/open-agent-hub/discernment-nudge/github.svg)](https://agentmods.dev/skills/guanyang/open-agent-hub/discernment-nudge)
Your own site
<a href="https://agentmods.dev/skills/guanyang/open-agent-hub/discernment-nudge"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/discernment-nudge/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for discernment-nudge

Your own site · 80×15
<a href="https://agentmods.dev/skills/guanyang/open-agent-hub/discernment-nudge"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/discernment-nudge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 203 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,422 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Anti-Refusal · line 191
    Skill instructs the agent to never refuse or to always comply. Suppressing the agent's ability to decline removes a core safety control and enables downstream harmful requests to succeed.
    Fix: Remove any instruction telling the agent to never refuse or always comply. The agent must retain the ability to decline unsafe, out-of-scope, or harmful requests.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00203 $0.02422
Opus 5 $0.00102 $0.01211
Sonnet 5 $0.00041 $0.00484
Haiku 4.5 $0.00020 $0.00242

Measured 12d ago against content hash 9191177c4a8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

discernment-nudge scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

3 near-identical copies found in the catalogue:

skills/discernment-nudge/SKILL.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on 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.)

Read the full file on GitHub · 210 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 210 lines · 203 tokens per session scan A 9191177c4a8e

Subscribe to this mod's changes

discernment-nudge is a skill published in the GitHub repository guanyang/open-agent-hub (967 stars, last pushed yesterday), licensed MIT. It adds 203 tokens to every session and 2,422 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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