grill-me

grill-me is a skill for Claude Code, Codex from Future-CX/AI-Architecture-Toolkit. It costs 55 tokens per session (836 once invoked), scanned A, original, MIT.

A questioning process for thoroughly testing a plan against the project’s domain model, shared terminology, and recorded decisions.

In plain words
What is it for?
Use it to stress-test plans one question at a time, clarify important terms, and record durable architecture decisions when needed.
Why use it?
It reveals unclear assumptions, conflicting meanings, and unresolved trade-offs before they become design or documentation problems.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to stress-test plans one question at a time, clarify important terms, and record durable architecture decisions when needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/future-cx/ai-architecture-toolkit/grill-me
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 Future-CX/AI-Architecture-Toolkit --skill grill-me
Clone the repo
git clone --depth 1 https://github.com/Future-CX/AI-Architecture-Toolkit

Made for: Claude Code, Codex.

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 grill-me

README.md
[![agentmods](https://agentmods.dev/badge/skills/future-cx/ai-architecture-toolkit/grill-me/github.svg)](https://agentmods.dev/skills/future-cx/ai-architecture-toolkit/grill-me)
Your own site
<a href="https://agentmods.dev/skills/future-cx/ai-architecture-toolkit/grill-me"><img src="https://agentmods.dev/badge/skills/future-cx/ai-architecture-toolkit/grill-me/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 grill-me

Your own site · 80×15
<a href="https://agentmods.dev/skills/future-cx/ai-architecture-toolkit/grill-me"><img src="https://agentmods.dev/badge/skills/future-cx/ai-architecture-toolkit/grill-me.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 836 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 $0.00055 $0.00836
Opus 5.5 $0.00022 $0.00334
Sonnet 5.5 $0.00011 $0.00167
Haiku 4.5 $0.00006 $0.00084

Measured 2mo ago against content hash 3829e6368e5a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

grill-me 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 2mo 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-me/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.

Ask the questions one at a time, waiting for feedback on each question before continuing.

If a question can be answered by exploring the codebase, explore the codebase instead.

Use related skills during the grilling session when their trigger conditions appear:

  • Use ubiquitous-language when terms are vague, overloaded, conflicting, or important enough to become shared domain language. Read and update GLOSSARY.md using the rules in ../ubiquitous-language/SKILL.md.
  • Use architecture-decision-record when a decision is hard to reverse, surprising without context, and the result of a real trade-off. Record ADRs using ../architecture-decision-record/templates/adr-template.md.

Do not duplicate those workflows inside this skill. Delegate glossary wording and ADR formatting to the related skill instructions, then return to the grilling sequence.

Domain awareness

During codebase exploration, also look for existing documentation:

File structure

Most repos have a single context:

/
├── CONTEXT.md
├── GLOSSARY.md
├── docs/
│   └── adr/
│       ├── 0001-event-sourced-orders.md
│       └── 0002-postgres-for-write-model.md

Create files lazily — only when you have something to write. If no GLOSSARY.md exists, create one when the first term is resolved. If no docs/adr/ exists, create it when the first ADR is needed.

During the session

Challenge against the glossary

When the user uses a term that conflicts with the existing language in GLOSSARY.md, call it out immediately. "Your glossary defines 'cancellation' as X, but you seem to mean Y — which is it?"

Sharpen fuzzy language

When the user uses vague or overloaded terms, propose a precise canonical term. "You're saying 'account' — do you mean the Customer or the User? Those are different things."

Read the full file on GitHub · 84 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. 2mo ago First seen · 84 lines · 55 tokens per session scan A 3829e6368e5a

Subscribe to this mod's changes

grill-me is a skill published in the GitHub repository Future-CX/AI-Architecture-Toolkit (8 stars, last pushed 18d ago), licensed MIT. It adds 55 tokens to every session and 836 once invoked, about $0.0002 per session on Opus 5.5. 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

grill-me compared with skills from other repositories

grill-me next to 6 skills from other repositories
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