Home / kunolu / 640-skills · sbtd-workflow-onboard/assets/external-skills/stable/skills/grilling/SKILL.md · GitHub

grilling skillA

Name: grilling
Author: kunolu

This file is byte-identical to the first copy the registry indexed, one of 7 copies on public GitHub. Same content hash, same audit grade.

grilling is agent-read markdown (skill) from kunolu/640-skills: Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

Interview the user relentlessly until you reach a shared understanding. Map this 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 the user's answers before the next round.

Format a round like so:

```
❓ **Q1** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices>

➡️ <your recommended answer>

---

❓ **Q2** - **<question title>**: <question body, might be multiple paragraphs, including multiple choices>

➡️ <your recommended answer>
```

Each round the user 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.
…

Read the whole file at its exact version.

How to install

Latest version

mdr add kunolu/640-skills/grilling@git:20260827.561ec6a

Exact content

mdr add kunolu/640-skills/grilling@sha256:10ff989e7498b23b

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

[![mdr](https://markdownregistry.com/badge/art_cfzjnsu6skv34bji.svg)](https://markdownregistry.com/a/art_cfzjnsu6skv34bji)

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Versions

version	committed	commit	size	audit
git:20260827.561ec6a latest	2026-08-27	561ec6a	1,987 B	A	view · diff
git:20260812.12c9286	2026-08-12	12c9286	1,872 B	A	view · diff
git:20260803.84ed3f4	2026-08-03	84ed3f4	843 B	A	view · diff
git:20260718.951ea5b	2026-07-18	951ea5b	821 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Deterministic, no model, same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (1987 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

kunolu/640-skills · 113 stars · license Apache-2.0 · pushed 2026-09-25 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cfzjnsu6skv34bji
GET https://markdownregistry.com/api/v1/resolve?ref=kunolu/640-skills/grilling
GET https://markdownregistry.com/api/v1/blob/10ff989e7498b23b5acb49d5048f11dcd906757d2f79c5cdf8a00001381296f2

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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