grill-with-docs

grill-with-docs is a skill for Claude Code, Codex from kevinnft/ai-agent-skills. It costs 57 tokens per session (830 once invoked), scanned A, a copy of domain-modeling, MIT.

A guided planning session that tests a software plan against the project's existing concepts and recorded decisions. It also updates context notes and architecture decision records as choices become clear.

In plain words
What is it for?
Use it to question a plan step by step, inspect the codebase and documentation for answers, and record the resulting decisions.
Why use it?
It helps expose missing decisions, conflicting terminology, and plans that do not fit the current design before implementation begins.

Skill for Claude CodeCodex

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

Good fit Use it to question a plan step by step, inspect the codebase and documentation for answers, and record the resulting decisions.

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

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-with-docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/grill-with-docs/github.svg)](https://agentmods.dev/skills/kevinnft/ai-agent-skills/grill-with-docs)
Your own site
<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/grill-with-docs"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/grill-with-docs/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-with-docs

Your own site · 80×15
<a href="https://agentmods.dev/skills/kevinnft/ai-agent-skills/grill-with-docs"><img src="https://agentmods.dev/badge/skills/kevinnft/ai-agent-skills/grill-with-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 830 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 72% copy Near-identical to another mod 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 $0.00057 $0.00830
Opus 5 $0.00028 $0.00415
Sonnet 5 $0.00011 $0.00166
Haiku 4.5 $0.00006 $0.00083

Measured 9d ago against content hash a905106f0dc8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

grill-with-docs 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 9d 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.

Origin

This is a copy

72% identical to domain-modeling — 47 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/mattpocock/engineering/grill-with-docs/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 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.

Domain awareness

During codebase exploration, also look for existing documentation:

File structure

Most repos have a single context:

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

If a CONTEXT-MAP.md exists at the root, the repo has multiple contexts. The map points to where each one lives:

/
├── CONTEXT-MAP.md
├── docs/
│   └── adr/                          ← system-wide decisions
├── src/
│   ├── ordering/
│   │   ├── CONTEXT.md
│   │   └── docs/adr/                 ← context-specific decisions
│   └── billing/
│       ├── CONTEXT.md
│       └── docs/adr/

Create files lazily — only when you have something to write. If no CONTEXT.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 CONTEXT.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."

Discuss concrete scenarios

When domain relationships are being discussed, stress-test them with specific scenarios. Invent scenarios that probe edge cases and force the user to be precise about the boundaries between concepts.

Read the full file on GitHub · 94 lines

Files

What ships with it

2 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. 9d ago First seen · 94 lines · 57 tokens per session scan A a905106f0dc8

Subscribe to this mod's changes

grill-with-docs is a skill published in the GitHub repository kevinnft/ai-agent-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 830 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 72% identical to domain-modeling, differing in 47 lines, and is treated as a copy.

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