grill-me SKILL.md skillA

grill-me from ninjasln-labs/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ninjasln-labs/agent-skills/grill-me@v1.2.0

Pins v1.2.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ninjasln-labs/agent-skills
Path
grill-me/SKILL.md
Versions recorded
5
Latest version
v1.2.0, committed Oct 2, 2026
First version recorded
Aug 3, 2026
Size
3,144 bytes
Repository stars
3
License
none declared

User-invoked entry that runs a plan-grilling session — a relentless one-question-at-a-time interview to sharpen a plan or design. Use when the user wants to stress-test a plan, decision, or idea before committing to it. USER-INVOKED ONLY: the agent must not auto-invoke this entry — the user runs it explicitly. NOT for gathering facts or doing research — grilling is for decisions, not lookups.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Grill Me

## 中文速览(Quick Guide)

- **做什么**:一个仅由用户显式调用的薄入口,全程委派给 `plan-grilling`,对用户的计划/决策/想法做一次一题一问的拷问。
- **何时用**:用户要在拍板前压力测试一个计划、决定或想法时;不用于查事实、做调研,也不用于执行计划。
- **核心步骤**:①加载并执行 `plan-grilling` 技能 ②不另造工作流 ③`plan-grilling` 未安装时,就地用它核心方法(一次一问、每问附推荐答案、事实从环境查、决定权留给用户)并说明这一点。
- **国内可达性**:本技能为本地对话流程,不依赖任何境外在线服务。

A thin alias: `/grill-me` starts a plan-grilling session.

1. Load and execute the `plan-grilling` skill on the user's plan/decision/idea.
2. Do not invent a separate workflow — delegate entirely to `plan-grilling`.
3. If the `plan-grilling` skill is not installed, conduct the interview inline using its
   core method (one question at a time, recommendation attached, facts looked up from the
   environment, decisions reserved for the user), and say that you are doing so.

## Input / Output

- **Input**: a plan, decision, or idea — pasted text, a design-doc path, or a one-line intent.
- **Output**: a one-question-at-a-time interview, each question paired with your recommended
  answer, ending in a written shared-understanding summary. No files are changed and no code
  is written during the session.

## Example

Input:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ninjasln-labs/agent-skills/grill-me@sha256:7856ed92a2a355ec

The line at the top of this page pins the label v1.2.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_yu7goxhkvibrgwin.svg)](https://markdownregistry.com/a/art_yu7goxhkvibrgwin)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Aug 3, 2026 and Oct 2, 2026, about one every 15 days.

versioncommittedcommitsizeaudit
v1.2.0 latest2026-10-02 6a4995b 3,144 BA view · diff
v1.1.02026-09-29 0febb7a 2,448 BA view · diff
v1.0.12026-09-22 75c75c0 655 BA view · diff
v1.0.02026-09-07 571fb57 528 BA view · diff
git:20260803.cf548c92026-08-03 cf548c9 476 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (3144 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

ninjasln-labs/agent-skills · 3 stars · license none declared · pushed 2026-10-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_yu7goxhkvibrgwin
GET https://markdownregistry.com/api/v1/resolve?ref=ninjasln-labs/agent-skills/grill-me
GET https://markdownregistry.com/api/v1/blob/7856ed92a2a355ec11c55d6feed80aa48aa9e27a0bd08d8c68f8b277b3946447

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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