grill-with-docs

grill-with-docs is a skill for Claude Code from lttr/claude-marketplace. It costs 58 tokens per session (1,426 once invoked), scanned A, original, MIT.

A guided questioning session for testing a plan against the project's existing terms, data concepts, and documented decisions. An ADR, or architecture decision record, is a document that explains an important technical choice.

In plain words
What is it for?
Use it to stress-test a plan, answer related design questions in stages, and keep the project's terminology and architecture documents current.
Why use it?
It exposes unclear decisions and checks that the plan fits the codebase's language and prior choices. It updates the glossary and decision records as the discussion settles key points.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents.

Part of the aiwork plugin — 11 skills, 2 hooks shipped together

Good fit Use it to stress-test a plan, answer related design questions in stages, and keep the project's terminology and architecture documents current.

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

Made for: Claude Code.

Or install aiwork, the plugin that ships this one along with the rest of its 11 skills, 2 hooks.

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/lttr/claude-marketplace/grill-with-docs/github.svg)](https://agentmods.dev/skills/lttr/claude-marketplace/grill-with-docs)
Your own site
<a href="https://agentmods.dev/skills/lttr/claude-marketplace/grill-with-docs"><img src="https://agentmods.dev/badge/skills/lttr/claude-marketplace/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/lttr/claude-marketplace/grill-with-docs"><img src="https://agentmods.dev/badge/skills/lttr/claude-marketplace/grill-with-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,426 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 $0.00058 $0.01426
Opus 5 $0.00029 $0.00713
Sonnet 5 $0.00012 $0.00285
Haiku 4.5 $0.00006 $0.00143

Measured 11d ago against content hash a05da6dd172c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, 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 11d 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.

plugins/aiwork/skills/grill-with-docs/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 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. Map it as a design tree: every decision branches into the decisions that hang off it.

Work the tree in rounds. 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. Ask the whole frontier in one round: number each question and give your recommended answer. Then wait for my answers before the next round.

Format each question like so:

**Q1** - **<question title>**: <question body, may be multiple paragraphs, including multiple choices>

Recommended: <your recommended answer>

Each round of answers reshapes the tree — settled decisions push the frontier outward and unblock questions that depended on them. Recompute the frontier and ask the next round. A question whose answer depends on another question still open in this round belongs to a later round, not this one.

Finding facts is your job, never mine. When a frontier question needs a fact from the codebase, the docs, or the environment, dispatch a subagent to find it rather than asking me. Don't block on it: a running exploration is an unsettled prerequisite, so only the questions downstream of it wait — ask the rest of the frontier now. The decisions are mine — put each one to me and wait.

The session is done when the frontier is empty: every branch of the design tree visited, nothing left silently assumed. Do not act on the plan until I confirm we have reached a shared understanding.

Domain awareness

During codebase exploration, also look for existing documentation:

File structure

Most repos have a single glossary:

/
├── GLOSSARY.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 glossaries. The map points to where each one lives:

Read the full file on GitHub · 116 lines

Files

What ships with it

3 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. 11d ago First seen · 116 lines · 58 tokens per session scan A a05da6dd172c

Subscribe to this mod's changes

grill-with-docs is a skill published in the GitHub repository lttr/claude-marketplace (2 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 1,426 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 2026-08-31.

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