Agent skill

Grill Me

by JuliusBrussee in JuliusBrussee/skills

Calibrated grilling session for stress-testing a plan, design, idea, or decision.

MITAuto-check passedAgent Workflows

Install Grill Me

skills CLI
$ npx skills add JuliusBrussee/skills --skill grill-me -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install JuliusBrussee/skills grill-me --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/JuliusBrussee/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/grill-me .claude/skills/grill-me && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
grill-me
GitHub stars
162
Token cost
~1.6k tokens
SKILL.md length
873 words
Files
1
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

Calibrated grilling session for stress-testing a plan, design, idea, or decision.

  • Works in 4 steps: Frame The Target → Calibration → Build The Decision Map → …
  • User says grill me
  • SKILL.md covers Core Rules, Phase 1: Frame The Target, Phase 2: Calibration and Phase 3: Build The Decision Map, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Grill Me is an agent skill from JuliusBrussee/skills. Calibrated grilling session for stress-testing a plan, design, idea, or decision. First assesses the user's topic knowledge, confidence, and desired pressure level, then asks one question at a time with recommended answers. Use when user says "grill me", "stress-test this", "challenge my plan", "interview me", or wants a plan probed without being overwhelmed.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Requirements gathering and Load testing. The licence is MIT.

When your agent uses it

  • User says grill me
  • Stress-test this
  • Challenge my plan
  • Wants a plan probed without being overwhelmed

Example prompts

  • “grill me”
  • “stress-test this”
  • “challenge my plan”
  • “/grill-me”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Frame The Target
  2. Calibration
  3. Build The Decision Map
  4. Question Ladder

What it can do on your machine

Read from SKILL.md and the folder at commit 8470b26. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Grill Me loads about 1.6k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 873 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from JuliusBrussee/skills at commit 8470b26, republished under its MIT licence (© JuliusBrussee). 873 words, ~1,620 tokens.

Download SKILL.mdSave it as .claude/skills/grill-me/SKILL.md (or your agent's skills folder).
name
grill-me
description
Calibrated grilling session for stress-testing a plan, design, idea, or decision. First assesses the user's topic knowledge, confidence, and desired pressure level, then asks one question at a time with recommended answers. Use when user says "grill me", "stress-test this", "challenge my plan", "interview me", or wants a plan probed without being overwhelmed.

Grill Me

Interview the user until the plan is clear, defensible, and ready for action.

This is not hostile debate. It is calibrated pressure. First find the user's knowledge level and desired intensity, then ramp questions to match.

Core Rules

  • Ask one question at a time.
  • Give a recommended answer for every question.
  • If the answer can be found by reading files, code, docs, issues, or logs, inspect those first instead of asking.
  • Keep track of unresolved decisions, assumptions, risks, and dependencies.
  • Do not over-grill domain basics when the user is still learning the topic. Teach the missing frame briefly, then ask the next useful question.
  • Do not under-grill confident experts. If they know the terrain, pressure-test tradeoffs, edge cases, failure modes, and reversibility.
  • Let the user change intensity any time with "softer", "harder", "teach more", or "skip basics".

Phase 1: Frame The Target

Identify what should be grilled before asking about comfort. If the topic is not clear, ask:

What plan, design, or decision should I grill?

Recommended answer: give me the concrete goal, current approach, constraints, and what decision you need to make.

If context already contains the plan, summarize it in 3-6 bullets and ask for correction:

I think target is: [...]

Recommended answer: "Yes, grill that" or "Adjust: ..."

Phase 2: Calibration

Before grilling the topic, ask a short calibration question unless the user's level is already obvious from context.

Ask:

Before I grill the plan: what is your current comfort with this topic, and how hard do you want the pressure?

Recommended answer: "I know the basics of [topic], but I want standard pressure. Explain missing concepts briefly, then keep pushing."

Use the user's answer to set two dials:

Knowledge Level
  • New - user lacks core vocabulary or model of the domain.
  • Working - user understands basics and can discuss tradeoffs.
  • Expert - user knows domain deeply and wants sharper critique.
Pressure Level
  • Light - clarify goals, constraints, and missing context.
  • Standard - challenge assumptions, tradeoffs, and execution path.
  • Hard - probe failure modes, edge cases, incentives, reversibility, and second-order effects.

If the user does not answer calibration, default to:

  • Knowledge: Working
  • Pressure: Standard

Phase 3: Build The Decision Map

Create a private decision map while asking questions one at a time:

  • Goal - what success means.
  • User or customer - who this affects.
  • Constraints - time, money, stack, team, policy, risk.
  • Options - obvious alternatives and why current option wins.
  • Dependencies - what must be true first.
  • Risks - what breaks, gets expensive, or becomes irreversible.
  • Validation - how user will know it worked.
  • Rollback - how to undo or recover.

Do not dump the full map unless user asks. Use it to choose the next question.

Phase 4: Question Ladder

Move through this ladder. Stop early if the plan becomes clear enough or user asks to stop.

1. Goal Fit

Questions:

  • What outcome matters most?
  • What would make this not worth doing?
  • What problem are we solving, and for whom?
2. Constraint Reality

Questions:

  • What hard constraint cannot move?
  • What resource bottleneck decides the plan?
  • What assumption would kill the plan if false?
3. Option Pressure

Questions:

  • What are the top two alternatives?
  • Why this approach over the boring one?
  • What are you optimizing for: speed, quality, learning, cost, control, or upside?
Show full SKILL.md (340 more words)Show less
4. Execution Path

Questions:

  • What is the smallest useful version?
  • What has to happen first?
  • What can be deferred without harming the goal?
5. Failure Modes

Questions:

  • How does this fail in production or real use?
  • What edge case would embarrass the plan?
  • What part is hardest to observe once it breaks?
6. Validation

Questions:

  • What test, metric, screenshot, demo, or user behavior proves this works?
  • What would you check before trusting it?
  • What does done mean in observable terms?
7. Reversibility

Questions:

  • What decision here is hardest to undo?
  • What backup, migration, rollback, or escape hatch exists?
  • What should be logged as an ADR or explicit tradeoff?

Pressure Adaptation

If Knowledge Is New
  • Define one missing concept in 2-4 sentences before asking.
  • Avoid jargon unless you define it.
  • Ask fewer branching questions.
  • Focus on goals, constraints, and first principles.
  • Recommended answers should model good reasoning, not only give answer text.
If Knowledge Is Working
  • Ask normal tradeoff questions.
  • Surface alternatives.
  • Push for validation and smallest useful version.
  • Challenge vague words like "simple", "scalable", "good", "clean", or "fast".
If Knowledge Is Expert
  • Skip basics.
  • Ask sharper counterfactuals.
  • Probe hidden costs, adverse incentives, migration paths, and long-term maintenance.
  • Ask what evidence would change their mind.
If Pressure Is Light
  • Keep questions clarifying.
  • Use supportive framing.
  • Stop after top ambiguities are resolved.
If Pressure Is Standard
  • Challenge assumptions and tradeoffs.
  • Keep moving until implementation path is concrete.
If Pressure Is Hard
  • Be direct.
  • Name weak reasoning.
  • Ask about unpleasant edge cases.
  • Demand observable validation.
  • Still ask one question at a time.

Every question includes:

text
Question: ...
Recommended answer: ...
Why it matters: ...

Keep "Why it matters" to one sentence.

When To Stop

Stop grilling when one of these is true:

  • User says stop.
  • Plan has clear goal, constraints, chosen approach, validation, and next step.
  • Missing information can only come from external research or code exploration.
  • User's knowledge gap blocks useful grilling; switch to brief teaching and propose next learning question.

End with:

  • Final decision or current best plan.
  • Remaining open questions.
  • Next concrete action.
  • Risks to watch.

© JuliusBrussee, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/grill-me of JuliusBrussee/skills.

Open the folder on GitHubat commit 8470b26

Compare with similar skills

Grill Me next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Grill Me compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Grill Me this skillJuliusBrussee/skills162—~1.6kAutomated safety check: PassMIT
Grillingpietheinstrengholt/rssmonster56431 repos~510Automated safety check: PassMIT
Grill Menateherkai/AIS-OS1.6k—~1.8kAutomated safety check: PassCustom licence
Grill MeEffect-TS/effect-smol7821 repos~504Automated safety check: PassMIT
Grill Mesanity-io/sanity6.4k39 repos~151Automated safety check: PassMIT
Deep Divebyungjunjang/jangpm-meta-skills120—~2.5kAutomated safety check: PassNone

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Categories

Questions about Grill Me

What does Grill Me do?

Calibrated grilling session for stress-testing a plan, design, idea, or decision. Grill Me is an agent skill from JuliusBrussee/skills. Calibrated grilling session for stress-testing a plan, design, idea, or decision.

When should I use Grill Me?

Grill Me fits situations like: user says grill me; stress-test this; challenge my plan; wants a plan probed without being overwhelmed.

How do I install Grill Me in Claude Code?

Run `npx skills add JuliusBrussee/skills --skill grill-me -a claude-code`. Or copy the skill folder (skills/grill-me in JuliusBrussee/skills) into .claude/skills/grill-me in your project. Claude Code loads it when a task matches its description.

How do I install Grill Me in Codex?

Run `npx skills add JuliusBrussee/skills --skill grill-me -a codex`. Or copy the skill folder (skills/grill-me in JuliusBrussee/skills) into .agents/skills/grill-me in your project. Codex loads it when a task matches its description.

Can I use Grill Me in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add JuliusBrussee/skills --skill grill-me -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grill-me, .gemini/skills/grill-me, .github/skills/grill-me and .opencode/skills/grill-me in your project.

What does Grill Me need to run?

SKILL.md names no scripts, command-line tools or credentials: Grill Me is instructions for the agent only.

Does Grill Me access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Grill Me safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Grill Me use?

Grill Me is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Grill Me use?

About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Grill Me?

Skills that share tags, products or a category with Grill Me: Grilling (pietheinstrengholt/rssmonster, 564 stars), Grill Me (nateherkai/AIS-OS, 1.6k stars), Grill Me (Effect-TS/effect-smol, 782 stars) and Grill Me (sanity-io/sanity, 6.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grill Me?

JuliusBrussee (a GitHub user) maintains it in JuliusBrussee/skills, which has 162 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on August 7, 2026.

Source: JuliusBrussee/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.