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Agent skill

Grill Me

by Effect-TS in Effect-TS/effect-smol

Interview the user about a plan or design until reaching shared understanding, resolving each branch of the decision tree.

MITAuto-check passedAgent Workflows

Install Grill Me

skills CLI
$ npx skills add Effect-TS/effect-smol --skill grill-me -a claude-code

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

GitHub CLI
$ gh skill install Effect-TS/effect-smol 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/Effect-TS/effect-smol.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/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
782
Used in
1 other repo
Token cost
~504 tokens
SKILL.md length
251 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
MIT

At a glance

Interview the user about a plan or design until reaching shared understanding, resolving each branch of the decision tree.

  • User wants to stress-test a plan
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Get grilled on their design
  • Mentions grill me

What it does

Grill Me is an agent skill from Effect-TS/effect-smol. Interview the user about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

Its SKILL.md is about 500 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 repository describes itself as: Core libraries and experimental work for Effect v4. The licence is MIT.

When your agent uses it

  • User wants to stress-test a plan
  • Get grilled on their design
  • Mentions grill me

Example prompts

  • “grill me”
  • “/grill-me”

What it can do on your machine

Read from SKILL.md and the folder at commit 3a1128c. 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 504 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 251 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~504

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 Effect-TS/effect-smol at commit 3a1128c, republished under its MIT licence (© Effect-TS). 251 words, ~504 tokens.

Download SKILL.mdSave it as .claude/skills/grill-me/SKILL.md (or your agent's skills folder).
name
grill-me
description
Interview the user about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

Interview me about every aspect of this plan until we reach a shared understanding and a defensible design.

Ask exactly one question at a time, then wait for my answer before asking the next question.

Use each answer to choose the next highest-leverage unresolved question. Maintain an implicit decision tree of resolved decisions, open questions, assumptions, dependencies, risks, and rejected alternatives.

For each question, include:

  • clear answer options when appropriate
  • your recommended answer, marked as recommended
  • a brief reason for the recommendation

Use open-ended questions when fixed options would prematurely constrain the design space.

Challenge vague, inconsistent, risky, or unsupported assumptions. If an answer creates a contradiction or unresolved dependency, ask a follow-up before moving on.

Cover, as relevant:

  • goals and non-goals
  • users and stakeholders
  • constraints
  • alternatives
  • APIs and interfaces
  • data model
  • error handling
  • security
  • observability
  • testing
  • migration and rollout
  • failure modes
  • operational ownership
  • success criteria

If repository facts are needed, inspect the codebase instead of asking the user. Do not ask me to provide information that can be determined locally.

When an available user-input tool such as request_user_input fits the question, use it to ask one short question with a small set of mutually exclusive options. Otherwise, ask in plain text and present clear possible answers as a numbered list when that helps me answer quickly. Include your recommended option and mark it as recommended.

Stop when the major branches of the design tree have been resolved. Then summarize the agreed design, remaining risks, assumptions, rejected alternatives, and next steps.

© Effect-TS, 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 .agents/skills/grill-me of Effect-TS/effect-smol.

Open the folder on GitHubat commit 3a1128c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in Effect-TS/effect-smol, which our catalogue first saw on October 7, 2026.

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 skillEffect-TS/effect-smol7821 repos~504Automated safety check: PassMIT
Grillingpietheinstrengholt/rssmonster56432 repos~510Automated safety check: PassMIT
Grill Menateherkai/AIS-OS1.6k—~1.8kAutomated safety check: PassCustom licence
Grill Mesanity-io/sanity6.4k40 repos~151Automated safety check: PassMIT
Deep Divebyungjunjang/jangpm-meta-skills121—~2.5kAutomated safety check: PassNone
Grillingopencrvs/opencrvs-core1202 repos~205Automated safety check: PassCustom licence

Similar skills

  • Grilling

    pietheinstrengholt/rssmonster

    Grill the user relentlessly about a plan, decision, or idea.

    564 GitHub starsUsed in 32 repos~510 tokens
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  • Grill Me

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    Interview the user relentlessly about a plan, design, or topic, checkpointing every answer to a brainstorm file so nothing is lost.

    1.6k GitHub stars~1.8k tokensUpdated 1 mo ago
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  • Grill Me

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    6.4k GitHub starsUsed in 40 repos~151 tokens
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    121 GitHub stars~2.5k tokensUpdated 2 mo ago
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  • Grilling

    opencrvs/opencrvs-core

    Grill the user relentlessly about a plan or design. An agent skill from opencrvs/opencrvs-core.

    120 GitHub starsUsed in 2 repos~205 tokens
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  • Deep Dive

    byungjunjang/jangpm-meta-skills

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Categories

Questions about Grill Me

What does Grill Me do?

Interview the user about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Grill Me is an agent skill from Effect-TS/effect-smol. Interview the user about a plan or design until reaching shared understanding, resolving each branch of the decision tree.

When should I use Grill Me?

Grill Me fits situations like: user wants to stress-test a plan; get grilled on their design; mentions grill me.

How do I install Grill Me in Claude Code?

Run `npx skills add Effect-TS/effect-smol --skill grill-me -a claude-code`. Or copy the skill folder (.agents/skills/grill-me in Effect-TS/effect-smol) 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 Effect-TS/effect-smol --skill grill-me -a codex`. Or copy the skill folder (.agents/skills/grill-me in Effect-TS/effect-smol) 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 Effect-TS/effect-smol --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 504 tokens (SKILL.md is roughly 2k 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 (sanity-io/sanity, 6.4k stars) and Deep Dive (byungjunjang/jangpm-meta-skills, 121 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grill Me?

Effect-TS (a GitHub organization) maintains it in Effect-TS/effect-smol, which has 782 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on July 14, 2026.

Source: Effect-TS/effect-smol on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.