Agent skill

Grill Me

by softspark in softspark/ai-toolkit

Stress-tests a plan via Socratic questioning down each decision branch.

Apache-2.0Auto-check: notesAgent Workflows

Install Grill Me

skills CLI
$ npx skills add softspark/ai-toolkit --skill grill-me -a claude-code

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

GitHub CLI
$ gh skill install softspark/ai-toolkit 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/softspark/ai-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/app/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
179
Token cost
~732 tokens
SKILL.md length
363 words
Files
1
Skills in repo
112
Repo updated
First seen
Licence
Apache-2.0

At a glance

Stress-tests a plan via Socratic questioning down each decision branch.

  • Works in 5 steps: Reads the plan or design (from context,… → Walks down each branch of the decision… → Resolves dependencies between decisions… → …
  • Tasks that involve Requirements gathering
  • SKILL.md covers Usage, What This Command Does, Rules and Gotchas, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Grill Me is an agent skill from softspark/ai-toolkit. Stress-tests a plan via Socratic questioning down each decision branch. Triggers: stress-test, grill me, validate assumptions, challenge plan, socratic review.

Its SKILL.md is about 730 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, Load testing and Tutoring and explanations. The repository describes itself as: Professional-grade AI coding toolkit: 94 skills, 44 agents, multi-platform (Claude, Cursor, Windsurf, Copilot, Gemini, Cline, Roo Code, Aider, Augment, Antigravity, Codex CLI… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Requirements gathering
  • Tasks that involve Load testing
  • Tasks that involve Tutoring and explanations

Example prompts

  • “/grill-me”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Glob, Bash, Agent

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Reads the plan or design (from context, file, or user description)
  2. Walks down each branch of the decision tree
  3. Resolves dependencies between decisions one-by-one
  4. Provides recommended answers for each question
  5. Continues until shared understanding is reached

What it can do on your machine

Read from SKILL.md and the folder at commit e40ed87. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob
    • Bash
    • Agent

    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 732 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 363 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~732

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Grep, Glob, Bash, Agent

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 softspark/ai-toolkit at commit e40ed87, republished under its Apache-2.0 licence (© softspark). 363 words, ~732 tokens.

Download SKILL.mdSave it as .claude/skills/grill-me/SKILL.md (or your agent's skills folder).
name
grill-me
description
Stress-tests a plan via Socratic questioning down each decision branch. Triggers: stress-test, grill me, validate assumptions, challenge plan, socratic review.
allowed-tools
Read, Grep, Glob, Bash, Agent
user-invocable
true
effort
medium
argument-hint
[plan or design to stress-test]

Grill Me

$ARGUMENTS

Interview relentlessly about every aspect of the plan until reaching shared understanding.

Usage

/grill-me [plan or design to stress-test]

What This Command Does

  1. Reads the plan or design (from context, file, or user description)
  2. Walks down each branch of the decision tree
  3. Resolves dependencies between decisions one-by-one
  4. Provides recommended answers for each question
  5. Continues until shared understanding is reached

Rules

  • MUST ask questions one at a time — batching defeats the Socratic process
  • MUST provide a recommended answer with every question so the user can accept, refine, or reject
  • NEVER settle for vague or hand-wavy answers — press for specifics ("what does 'scale' mean here — 10k req/s or 10M?")
  • NEVER skip ahead before the current branch is resolved — dependencies between decisions matter
  • CRITICAL: if a question can be answered by exploring the codebase, explore instead of asking. Do not outsource verifiable facts to the user.
  • MANDATORY: apply Devil's Advocate critique to every major decision — the default answer ("let's ship it") is almost always the one that needs challenging
Show full SKILL.md (195 more words)Show less

Gotchas

  • Grilling can feel adversarial. Frame questions as "what if X happens" not "your plan is wrong because X" — the goal is shared understanding, not winning.
  • Fatigue kicks in around 10 questions deep. For larger plans, pause and summarize every ~7 questions so the user can reorient before continuing.
  • Some disagreements cannot be resolved by argument — they need data. If a question loops (user defends A, grill defends B, repeat), recommend a spike or experiment instead of more questions.
  • The user's "final answer" after heavy grilling may be reluctant compliance, not genuine agreement. Watch for hedging language ("I guess", "sure, fine") and probe once more.
  • Grilling a plan that is already detailed and well-vetted produces diminishing returns and annoyance. Know when to stop — exit condition is "shared understanding", not "exhaustive coverage".

When NOT to Use

  • For implementation — use /plan, /refactor-plan, or /prd-to-plan
  • For code review after the code is written — use /review
  • For architecture decisions with 2-3 named options — use /architecture-decision (structured trade-off) rather than open-ended grilling
  • When the plan is crystal-clear and the user just needs a sanity check — grilling overkills trivial decisions
  • In a production incident — use /workflow incident-response, speed beats thoroughness there

© softspark, Apache-2.0. 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 app/skills/grill-me of softspark/ai-toolkit.

Open the folder on GitHubat commit e40ed87

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 skillsoftspark/ai-toolkit179—~732Automated safety check: NotesApache-2.0
Deep Divebyungjunjang/jangpm-meta-skills120—~2.5kAutomated safety check: PassNone
Deep Divebyungjunjang/jangpm-meta-skills120—~2.7kAutomated safety check: PassNone
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

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Categories

Questions about Grill Me

What does Grill Me do?

Stress-tests a plan via Socratic questioning down each decision branch. Grill Me is an agent skill from softspark/ai-toolkit. Stress-tests a plan via Socratic questioning down each decision branch.

When should I use Grill Me?

Grill Me fits situations like: tasks that involve Requirements gathering; tasks that involve Load testing; tasks that involve Tutoring and explanations.

How do I install Grill Me in Claude Code?

Run `npx skills add softspark/ai-toolkit --skill grill-me -a claude-code`. Or copy the skill folder (app/skills/grill-me in softspark/ai-toolkit) 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 softspark/ai-toolkit --skill grill-me -a codex`. Or copy the skill folder (app/skills/grill-me in softspark/ai-toolkit) 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 softspark/ai-toolkit --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. Its frontmatter pre-approves these tools: Read, Grep, Glob, Bash, Agent.

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 notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Grill Me use?

Grill Me is published under the Apache-2.0 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 732 tokens (SKILL.md is roughly 2.9k 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: Deep Dive (byungjunjang/jangpm-meta-skills, 120 stars), Deep Dive (byungjunjang/jangpm-meta-skills, 120 stars), Grilling (pietheinstrengholt/rssmonster, 564 stars) and Grill Me (nateherkai/AIS-OS, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grill Me?

softspark (a GitHub user) maintains it in softspark/ai-toolkit, which has 179 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on October 8, 2026.

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