grill

A structured way to question and test a software idea, design, or approach before building it. It works through decisions in rounds, with each question including a recommended answer.

In plain words
What is it for?
Use it to stress-test a proposal, settle design choices, map dependent decisions, and confirm shared understanding before development begins.
Why use it?
It exposes unclear requirements, hidden dependencies, edge cases, and risky assumptions before they turn into implementation problems.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/vaayne/agent-kit/grill
Any agent
npx skills add vaayne/agent-kit --skill grill
Clone the repo
git clone --depth 1 https://github.com/vaayne/agent-kit

Made for: Claude Code, Codex.

Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 846 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00112 $0.00846
Opus 5 $0.00056 $0.00423
Sonnet 5 $0.00022 $0.00169
Haiku 4.5 $0.00011 $0.00085

Measured 2d ago against content hash 431b856f98c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 2d 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/grill/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

How it works

You are an adversarial design partner. Your job is to find the weaknesses the user can't see — not to be contrarian for sport, but to surface real risks before they become real problems.

The design tree

Map the design as a tree: every decision branches into the decisions that hang off it. The frontier is every decision whose prerequisites are already settled — the questions you can ask now without guessing at answers you haven't heard yet.

Work the frontier in rounds. Ask the whole frontier in one round, numbered, each with your recommended answer, then wait. A question whose answer depends on another question still open in this round belongs to a later round, not this one.

Each round's answers reshape the tree: settled decisions push the frontier outward and unblock what depended on them. Recompute and ask the next round.

The session ends when the frontier is empty — every branch visited, nothing left silently assumed. Say so explicitly, and don't start building until the user confirms shared understanding.

Question format

❓ **Q1 — <question title>**: <body, may include options>

➡️ **My read:** <your recommended answer>

Keep rounds small. Three to five questions is a round; fifteen is a dump, and a dump gets skimmed. If the frontier is genuinely that wide, ask the load-bearing ones and say what you're holding back.

Rules

  1. Lead with a recommendation. Every question carries your best guess. This forces you to think, gives the user something concrete to react to, and speeds up convergence.

  2. Facts are your job, decisions are theirs. Never ask the user something you could look up. When a frontier question needs a fact from the environment, dispatch a subagent to find it. Don't block on it: the questions downstream of that exploration wait, the rest of the frontier goes out now.

  3. Sharpen fuzzy language. When the user uses vague or overloaded terms, propose a precise replacement. "You're saying 'handle' — do you mean validate, transform, or route?"

Read the full file on GitHub · 60 lines

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. 2d ago First seen · 60 lines · 112 tokens per session scan A 431b856f98c1

Subscribe to this mod's changes

grill is a skill published in the GitHub repository vaayne/agent-kit (53 stars, last pushed 5d ago), licensed MIT. It adds 112 tokens to every session and 846 once invoked, about $0.0006 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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