grilling

grilling is a skill for Claude Code, Codex from aethrox/doctrine. It costs 63 tokens per session (934 once invoked), scanned A, original, MIT.

A structured interview method for uncovering missing information before making a plan or decision. It asks focused questions in rounds and confirms the answers before treating them as settled.

In plain words
What is it for?
Use it to stress-test plans, clarify ambiguous requirements, make difficult decisions, and prepare for work where important context is still missing.
Why use it?
It helps expose assumptions and unresolved choices that could make a plan wrong or premature. Each question targets a specific gap instead of collecting unnecessary details.

Skill for Claude CodeCodex

Part of the doctrine plugin — 33 skills shipped together

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/aethrox/doctrine/grilling
Any agent
npx skills add aethrox/doctrine --skill grilling
Clone the repo
git clone --depth 1 https://github.com/aethrox/doctrine

Made for: Claude Code, Codex.

Or install doctrine, the plugin that ships this one along with the rest of its 33 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 grilling

README.md
[![agentmods](https://agentmods.dev/badge/skills/aethrox/doctrine/grilling.svg)](https://agentmods.dev/skills/aethrox/doctrine/grilling)
Your own site
<a href="https://agentmods.dev/skills/aethrox/doctrine/grilling"><img src="https://agentmods.dev/badge/skills/aethrox/doctrine/grilling.svg" alt="Measured on agentmods" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 934 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 $0.00063 $0.00934
Opus 5 $0.00032 $0.00467
Sonnet 5 $0.00013 $0.00187
Haiku 4.5 $0.00006 $0.00093

Measured 4d ago against content hash 309fe62e6af8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

grilling 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 4d 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/grilling/SKILL.md · 48 lines

How it starts

The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Grilling

An interview isn't a checklist of questions read out in order; it's closing a specific gap between what's already known and what's needed before acting. This skill's defining constraint, from BABOK's elicitation discipline: every question earns its place by targeting that gap, and nothing gathered is treated as settled until it's played back and confirmed. This is a business-analysis technique for the same reason it applies here: an unconfirmed answer is often not the answer that was meant.

Phase 1: Map the gap before asking anything

Before the first question, identify what's already known (from the conversation, the codebase, prior decisions) versus what's genuinely missing. A question that's already answerable from context doesn't belong in the interview, asking it anyway wastes the user's attention on ground already covered, and signals the interviewer wasn't listening.

Structure the missing pieces as a decision tree: each open decision, and which other open decisions it depends on. A decision with no unresolved dependency is on the frontier: answerable right now, without guessing at something not yet heard.

Phase 2: Elicit in rounds

Ask the whole frontier in one round, not one question at a time, batching respects the user's time and lets them see how the questions relate to each other. For each question:

  • State it precisely enough that a specific answer, not a restatement of the question, is the expected response.
  • Offer a recommended answer where one exists: a default the user can accept, correct, or override, rather than a blank slate they have to fill from nothing.
  • Write questions and their surrounding prose without em dashes: use a comma, colon, period, or a reworded sentence instead.

Wait for the round's answers before computing the next round. Each answer can unblock questions that depended on it; recompute the frontier fresh each round rather than pre-planning every round up front, since an early answer can make a later planned question moot or reveal a new one.

Read the full file on GitHub · 48 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. 4d ago First seen · 48 lines · 63 tokens per session scan A 309fe62e6af8

Subscribe to this mod's changes

grilling is a skill published in the GitHub repository aethrox/doctrine (18 stars, last pushed 23d ago), licensed MIT. It adds 63 tokens to every session and 934 once invoked, about $0.0003 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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