grill-with-docs

grill-with-docs is a skill for Claude Code, Codex from chinkan/RustFox. It costs 30 tokens per session (60 once invoked), scanned A, a copy of grill-with-docs, MIT.

A guided questioning session for testing and sharpening a software plan or design, while recording decisions and key terms in architecture decision records and a glossary.

In plain words
What is it for?
Use it to examine a proposed design, clarify domain language, and document the decisions made during the discussion.
Why use it?
It exposes unclear assumptions and missing edge cases before coding, leaving behind written decisions that help the team stay aligned.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to examine a proposed design, clarify domain language, and document the decisions made during the discussion.

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

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/chinkan/rustfox/grill-with-docs/github.svg)](https://agentmods.dev/skills/chinkan/rustfox/grill-with-docs)
Your own site
<a href="https://agentmods.dev/skills/chinkan/rustfox/grill-with-docs"><img src="https://agentmods.dev/badge/skills/chinkan/rustfox/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/chinkan/rustfox/grill-with-docs"><img src="https://agentmods.dev/badge/skills/chinkan/rustfox/grill-with-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 60 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 100% 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 $0.00030 $0.00060
Opus 5.5 $0.00012 $0.00024
Sonnet 5.5 $0.00006 $0.00012
Haiku 4.5 $0.00003 $0.00006

Measured 1mo ago against content hash 7de372c13488, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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

100% identical to grill-with-docs — 2 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.

.agents/skills/grill-with-docs/SKILL.md · 8 lines

What it actually says

Call the Skill tool twice, for "grilling" and "domain-modeling".

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. 1mo ago Changed 7de372c13488
  2. 1mo ago First seen · 8 lines · 30 tokens per session scan A 610d091047bc

Subscribe to this mod's changes

grill-with-docs is a skill published in the GitHub repository chinkan/RustFox (10 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 60 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to grill-with-docs, differing in 2 lines, and is treated as a copy.

Related

Other skills, from other repositories

Vector Databases

Guides retrieval-store design, indexing, and query behavior for embedding-backed systems without confusing storage with application truth.

agentic-in/elephant-agent · 26 tokens

esm

Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel…

synthetic-sciences/openscience · 86 tokens

company-employee

The protocol every employee of a PenguinHarness organization follows — read the handbook first, act on [orgtrigger] work runs, schedule tickets from the desk session and do the work in ticket sessions, block instead of idling, ask the board in the all-hands channel before anything heavy, costly, irreversible or…

Prism-Shadow/penguin-harness · 85 tokens

penguin-plugin

Use for workbenches — the tabs and pages beside the chat, with server code behind them, that an Agent keeps in its own workbenches/ folder inside PenguinHarness — building one, changing it, showing it as the whole app, restoring an earlier version, and removing a tab or a whole workbench when the user wants the custom…

Prism-Shadow/penguin-harness · 78 tokens

agent-evaluation

Run one specified Test Agent on one specified Benchmark Case exactly once, privately score that execution, and return one protocol result.

Prism-Shadow/penguin-harness · 28 tokens

agent-initialization

Initialize or extend an Agent from a user requirement - write AGENTS.md, set identity metadata, and create, install or import Skills and hook packages (scripts the harness runs on every prompt, before tool calls, or after a task). For an Agent with an in-app workbench, pair with penguin-plugin; for a standalone…

Prism-Shadow/penguin-harness · 79 tokens