duck-grill

duck-grill is a skill for Claude Code from sprngr/rubber-duck. It costs 41 tokens per session (2,175 once invoked), scanned A, original, MIT.

A structured interview that challenges a development plan’s assumptions using project documents, the codebase, and agreed rules.

In plain words
What is it for?
Pressure-testing plans, resolving choices branch by branch, and preparing evidence-backed decisions for a project.
Why use it?
It exposes unclear decisions, conflicting terminology, and unsupported assumptions before implementation begins.

Skill for Claude Code

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

Part of the rubber-duck plugin — 17 skills shipped together

Good fit Pressure-testing plans, resolving choices branch by branch, and preparing evidence-backed decisions for a project.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sprngr/rubber-duck/duck-grill
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 sprngr/rubber-duck --skill duck-grill
Clone the repo
git clone --depth 1 https://github.com/sprngr/rubber-duck

Made for: Claude Code.

Or install rubber-duck, the plugin that ships this one along with the rest of its 17 skills.

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 duck-grill

README.md
[![agentmods](https://agentmods.dev/badge/skills/sprngr/rubber-duck/duck-grill/github.svg)](https://agentmods.dev/skills/sprngr/rubber-duck/duck-grill)
Your own site
<a href="https://agentmods.dev/skills/sprngr/rubber-duck/duck-grill"><img src="https://agentmods.dev/badge/skills/sprngr/rubber-duck/duck-grill/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 duck-grill

Your own site · 80×15
<a href="https://agentmods.dev/skills/sprngr/rubber-duck/duck-grill"><img src="https://agentmods.dev/badge/skills/sprngr/rubber-duck/duck-grill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,175 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.
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 $0.00041 $0.02175
Opus 5 $0.00020 $0.01087
Sonnet 5 $0.00008 $0.00435
Haiku 4.5 $0.00004 $0.00217

Measured 13d ago against content hash 513e1eac0202, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

duck-grill 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 13d 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.

skills/duck-grill/SKILL.md · 238 lines

How it starts

The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Grilling interview 🦆. Batch up to 3 questions per turn. Challenge assumptions. Ground in evidence.

Purpose

Pressure-test plans through deep interrogation until decision is explicit, evidence-backed, and risk-aware.

Philosophy Guardrails (skill-local)

Inherit shared guardrails from references/GUARDRAILS.md.

  • ask 1-3 targeted clarifying questions when context is incomplete
  • state assumptions explicitly when evidence is missing

Philosophy Guardrails (skill-local delta)

Skill-specific delta:

  • Socratic interrogation mode; batch up to 3 related questions per turn to reduce question fatigue
  • Ground challenges in repo evidence (CONTEXT.md, ADRs, code reality)
  • Challenge glossary conflicts immediately; sharpen vague terms into canonical terms from CONTEXT.md
  • Document updates (ADRs, CONTEXT.md) require execution approval as semantic changes

Activation

Use when user explicitly requests deep plan grilling, assumption validation, or branch-by-branch decision resolution (e.g., "grill this", "grill with ducks", "challenge my assumptions").

Method

1. Clarify scope (if ambiguous)

  • ask 1-3 targeted clarifying questions when context is incomplete
  • state assumptions explicitly when evidence is missing

If grilling target is unclear, ask one scoping question:

  • "What decision needs grilling?" (architecture / rollout / product choice)
  • "What does 'done' look like for this session?" (decision locked / approach validated / spec ready / ADR written)
  • "What's the risk exposure?" (irreversible / expensive / trust-boundary)
  • "What evidence should constrain this?" (code / docs / domain model)

2. Ground in evidence first

If challenging an assumption, anchor it in:

  • CONTEXT.md / CONTEXT-MAP.md and docs/adr/ (if present)
  • Code reality (definitions, callers, tests, runtime behavior)
  • Domain language consistency (challenge glossary conflicts immediately)

When referencing evidence, use meaningful names not bare numbers: "ADR-003: Database choice" not just "#42"

Read the full file on GitHub · 238 lines

Files

What ships with it

4 files 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. 13d ago First seen · 238 lines · 41 tokens per session scan A 513e1eac0202

Subscribe to this mod's changes

duck-grill is a skill published in the GitHub repository sprngr/rubber-duck (8 stars, last pushed 3d ago), licensed MIT. It adds 41 tokens to every session and 2,175 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

expert-redteam-review

Use when a user asks to evaluate a complex, high-impact, ambiguous, cross-functional, or hard-to-reverse decision; mentions expert panel, red team, adversarial review, rebuttal, judge, arbitration, risk review, challenge assumptions, poke holes, or wants stronger decision quality than a normal review.

carbonshow/intent-fluid · 67 tokens

deploy-docker-compose

Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…

omnigent-ai/omnigent · 84 tokens

taiyi-ui-design

A design-planning guide for describing how an application's user interface should look and behave. It produces a UI-DESIGN.md document covering layouts, components, interactions, accessibility, and error states.

Dong90/oh-my-taiyiforge · 35 tokens

remove

Remove a deployed framework or addon from the current workspace.

jmagly/aiwg · 12 tokens

maggy

Maggy is a local AI engineering command center. AI-prioritized inbox across issue trackers (GitHub Issues/Asana), one-click TDD execute with iCPG context enrichment, daily competitor intelligence briefing.

alinaqi/maggy · 46 tokens

qa-knowledge

To run QA engineering — requirements/gap analysis, scenario & spec design, test implementation, failure triage — over the QA knowledge base.

griddynamics/rosetta · 32 tokens