grill

A question-by-question interview that tests a plan, design, or decision before coding begins. It follows the choices and dependencies until important details are settled.

In plain words
What is it for?
Use it to examine a technical plan, product decision, or system design and decide between alternatives with a recommended answer for each question.
Why use it?
It exposes unclear requirements, contradictions, and trade-offs before they become code that is expensive to change.

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

Made for: Claude Code, Codex.

Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,220 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 $0.00121 $0.01220
Opus 5 $0.00060 $0.00610
Sonnet 5 $0.00024 $0.00244
Haiku 4.5 $0.00012 $0.00122

Measured 2d ago against content hash d818b69ad4fe, 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/productivity/grill/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Grill

Interview the user relentlessly until you both reach a shared understanding they can build from. Walk down every branch of the decision tree, resolving dependencies between decisions one at a time.

The goal is not to be agreeable. It is to find the ambiguity, the contradiction, and the unexamined trade-off before they become code.

The loop

  1. One question at a time. Asking several at once is bewildering and lets the hard one hide behind the easy ones. Ask, wait for the answer, then ask the next.

  2. Recommend an answer to every question. Never ask a bare question. State your recommended choice and the reason, so the user is reacting to a proposal, not staring at a blank field. A question without a recommendation is you offloading the thinking you were asked to do.

  3. Facts you look up. Decisions you ask. If something can be discovered by exploring the environment — filesystem, git, tools, docs, existing code — look it up instead of asking. Only genuine decisions, where the answer is the user's judgment and not a fact, get put to them. Asking the user a question you could have answered yourself wastes the session.

  4. Resolve dependencies in order. Find the most upstream decision — the one the others hang off — and settle it first. Do not ask a downstream question whose framing depends on an answer you do not have yet.

  5. Do not act until the user confirms shared understanding. Grilling produces alignment, not artifacts. It never writes source or tests — however settled the design feels, however broad the user's go sounds ("yes", "all of it", "go ahead"). Building is spec-execution's work, and only after a spec exists. With docs, the artifacts you may write are exhaustively CONTEXT.md and ADRs; nothing else. Present the resolved picture and hand off — the go you are waiting for is the go to the next step, never a licence to build.

The four sharpeners

These are what separate a real grilling from a polite Q&A. Apply all four throughout.

Read the full file on GitHub · 67 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. 2d ago First seen · 67 lines · 121 tokens per session scan A d818b69ad4fe

Subscribe to this mod's changes

grill is a skill published in the GitHub repository assisjp/specflow (17 stars, last pushed 23d ago), licensed MIT. It adds 121 tokens to every session and 1,220 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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