grill-with-docs-skill

grill-with-docs-skill is a skill for OpenCode from darellchua2/opencode-config-template. It costs 39 tokens per session (1,191 once invoked), scanned A, original, Apache-2.0.

A planning interview tool that asks focused questions about a design, builds a shared glossary, and records important decisions in project documents.

In plain words
What is it for?
Use it to stress-test a feature plan, agree on terminology, create a CONTEXT.md glossary, and record hard-to-reverse choices as architecture decision records.
Why use it?
It exposes unclear requirements before coding starts and leaves behind written context so future sessions do not need to revisit the same decisions.

Skill for OpenCode

Written for OpenCode: installed under .opencode/. Also seen: mentions OpenCode.

Good fit Use it to stress-test a feature plan, agree on terminology, create a…

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Install with agentmods
npx agentmods add skills/darellchua2/opencode-config-template/grill-with-docs-skill
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 darellchua2/opencode-config-template --skill grill-with-docs-skill
Clone the repo
git clone --depth 1 https://github.com/darellchua2/opencode-config-template

Made for: OpenCode.

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-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/darellchua2/opencode-config-template/grill-with-docs-skill.svg)](https://agentmods.dev/skills/darellchua2/opencode-config-template/grill-with-docs-skill)
Your own site
<a href="https://agentmods.dev/skills/darellchua2/opencode-config-template/grill-with-docs-skill"><img src="https://agentmods.dev/badge/skills/darellchua2/opencode-config-template/grill-with-docs-skill.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,191 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 $0.00039 $0.01191
Opus 5 $0.00019 $0.00596
Sonnet 5 $0.00008 $0.00238
Haiku 4.5 $0.00004 $0.00119

Measured 3d ago against content hash 6dd8aa4fea7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

grill-with-docs-skill 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 3d 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.

opencode_app/.opencode/skills/grill-with-docs-skill/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What I do

I orchestrate a focused session that combines two engines:

  1. grilling-skill — relentlessly interviews the user about the plan, one question at a time with a recommended answer, until the decision tree is resolved
  2. domain-modeling-skill — captures the crystallised terminology into CONTEXT.md and records hard-to-reverse decisions as ADRs, inline as they emerge

The result is alignment AND a durable artifact: the next session (or the next agent) inherits a sharpened glossary and recorded decisions, so the work doesn't have to be re-litigated.

When to use me

Use this skill when:

  • You want to stress-test a plan or design before building
  • You want the alignment session to ALSO produce domain docs (glossary + ADRs)
  • You're starting a non-trivial feature and want to lock down terminology first

Trigger phrases:

  • "grill with docs"
  • "grill me and write it up"
  • "stress-test this plan and capture it"
  • "interview me and document"

If you want the interview WITHOUT doc capture, use grill-me-skill instead.

Core Workflow

Step 1: Load both engines

This skill delegates all behavior to two model-invoked engines. Do not reimplement them:

  • grilling-skill — owns the interview loop
  • domain-modeling-skill — owns doc capture

Step 2: Run the grilling session

Invoke grilling-skill to conduct the interview. Apply its rules throughout:

  • One question at a time, each with a recommended answer
  • Explore the codebase instead of asking when possible
  • Walk the decision tree branch-by-branch

Step 3: Capture docs inline during the session

As grilling-skill resolves each branch, hand off to domain-modeling-skill to:

  • Challenge and sharpen terminology against the existing CONTEXT.md
  • Update CONTEXT.md inline the moment a term is resolved
  • Offer an ADR only when a decision is hard-to-reverse + surprising + a real trade-off

The two engines run interleaved, not sequentially. Doc capture happens during the interview, not after.

Read the full file on GitHub · 113 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. 3d ago First seen · 113 lines · 39 tokens per session scan A 6dd8aa4fea7d

Subscribe to this mod's changes

grill-with-docs-skill is a skill published in the GitHub repository darellchua2/opencode-config-template (6 stars, last pushed today), licensed Apache-2.0. It adds 39 tokens to every session and 1,191 once invoked, about $0.0002 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 2026-09-03.

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