A relentless interview that asks every frontier question at once, round by round.

Apache-2.0Auto-check passedAgent Workflows

Install Batch Grill Me

skills CLI
$ npx skills add DouglasNeuroInformatics/OpenDataCapture --skill batch-grill-me -a claude-code

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

GitHub CLI
$ gh skill install DouglasNeuroInformatics/OpenDataCapture batch-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/DouglasNeuroInformatics/OpenDataCapture.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/batch-grill-me .claude/skills/batch-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
batch-grill-me
GitHub stars
119
Used in
1 other repo
Token cost
~408 tokens
SKILL.md length
245 words
Files
2
Skills in repo
16
Repo updated
First seen
Licence
Apache-2.0

At a glance

A relentless interview that asks every frontier question at once, round by round.

  • Tasks that involve Requirements gathering
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Batch Grill Me is an agent skill from DouglasNeuroInformatics/OpenDataCapture. A relentless interview that asks every frontier question at once, round by round.

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Agent Workflows, covering Requirements gathering. The repository describes itself as: An electronic data capture platform for administering remote and in-person clinical instruments. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Requirements gathering

Example prompts

  • “/batch-grill-me”

What it can do on your machine

Read from SKILL.md and the folder at commit 432dec8. 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

Batch Grill Me loads about 408 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 245 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~408

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 DouglasNeuroInformatics/OpenDataCapture at commit 432dec8, republished under its Apache-2.0 licence (© DouglasNeuroInformatics). 245 words, ~408 tokens.

Download SKILL.mdSave it as .claude/skills/batch-grill-me/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
batch-grill-me
description
A relentless interview that asks every frontier question at once, round by round.
disable-model-invocation
true

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.

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.

Finding facts is your job, never the user's. When a frontier question needs a fact from the environment (filesystem, tools, etc.), dispatch a sub-agent to find it — don't ask the user for anything you could look up yourself. Don't block on it: a running exploration is an unsettled prerequisite, so only the questions downstream of it wait for the sub-agent to report — ask the rest of the frontier now. The decisions are the user's — put each to them and wait.

The session is done when the frontier is empty: every branch of the design tree visited, nothing left silently assumed. Do not act on it until the user confirms you have reached a shared understanding.

© DouglasNeuroInformatics, 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

SKILL.md and 1 other file in .agents/skills/batch-grill-me of DouglasNeuroInformatics/OpenDataCapture.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 432dec8

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 DouglasNeuroInformatics/OpenDataCapture, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Batch 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.

Batch Grill Me compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Batch Grill Me this skillDouglasNeuroInformatics/OpenDataCapture1191 repos~408Automated safety check: PassApache-2.0
Using Superpowersfarm-fe/farm5.6k35 repos~1.4kAutomated safety check: PassMIT
Interview Meaddyosmani/agent-skills104k6 repos~3.8kAutomated safety check: PassMIT
Brainstormingobra/superpowers297k1 repos~2.5kAutomated safety check: PassMIT
Grillingpietheinstrengholt/rssmonster56431 repos~510Automated safety check: PassMIT
Agentic Workflow Designerdotnet/Open-XML-SDK4.6k2 repos~3.5kAutomated safety check: PassMIT

Similar skills

  • Using Superpowers

    farm-fe/farm

    A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

    5.6k GitHub starsUsed in 35 repos~1.4k tokens
    Agent WorkflowsAuto-check passed
  • Interview Me

    addyosmani/agent-skills

    Asks one question at a time, each with a best guess attached, until the agent is about 95 percent sure what you really want, before any plan, spec or code.

    104k GitHub starsUsed in 6 repos~3.8k tokens
    Agent WorkflowsAuto-check passed
  • Brainstorming

    obra/superpowers

    Makes the agent clarify intent and agree on a design with you before writing any code, scaling the process from a quick spike to a written spec.

    297k GitHub starsUsed in 1 repo~2.5k tokens
    Agent WorkflowsAuto-check passed
  • Grilling

    pietheinstrengholt/rssmonster

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

    564 GitHub starsUsed in 31 repos~510 tokens
    Agent WorkflowsAuto-check passed
  • Agentic Workflow Designer

    dotnet/Open-XML-SDK

    Official

    Interviews you one question at a time about goal, trigger, permissions and data needs, then drafts a single agentic workflow markdown file.

    4.6k GitHub starsUsed in 2 repos~3.5k tokens
    Agent WorkflowsAuto-check passed
  • Ask User Question

    MemTensor/MemOS

    Shows a question as a modal in the interface to clarify a task, collect a preference or get approval, since the user cannot see terminal output.

    12k GitHub stars~1k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed

More from DouglasNeuroInformatics/OpenDataCapture

All 16 skills in this repo
  • Odc Agent Docs

    DouglasNeuroInformatics/OpenDataCapture

    Write or correct this repo's agent documentation — a workspace AGENTS.md (or its CLAUDE.md symlink), a playbook under .agents/docs/playbooks, an architecture doc, or the workspace map.

    119 GitHub stars~2.7k tokensUpdated 2 days ago
    Auto-check passed
  • Odc Testing

    DouglasNeuroInformatics/OpenDataCapture

    Test a change in Open Data Capture. An agent skill from DouglasNeuroInformatics/OpenDataCapture.

    119 GitHub stars~1.5k tokensUpdated 2 days ago
    Auto-check: notes
  • Review PR

    DouglasNeuroInformatics/OpenDataCapture

    Triage pull requests against upstream main — one verdict, action items, and whether it needs the user's eyes.

    119 GitHub stars~2.8k tokensUpdated 2 days ago
    Auto-check passed
  • Odc Open PR

    DouglasNeuroInformatics/OpenDataCapture

    Open a pull request against main for the current branch. An agent skill from DouglasNeuroInformatics/OpenDataCapture.

    119 GitHub stars~533 tokensUpdated 2 days ago
    Auto-check passed
  • Opening Issues

    DouglasNeuroInformatics/OpenDataCapture

    File a GitHub issue for Open Data Capture with its labels. An agent skill from DouglasNeuroInformatics/OpenDataCapture.

    119 GitHub stars~614 tokensUpdated 2 days ago
    Auto-check passed
  • Odc Debugging

    DouglasNeuroInformatics/OpenDataCapture

    What actually breaks in Open Data Capture — a failing build, lint, unit test or e2e run; a change with no visible effect; a suite that stays green after you broke the code on purpose; an error…

    119 GitHub stars~2.8k tokensUpdated 2 days ago
    Auto-check: notes

Categories

Questions about Batch Grill Me

What does Batch Grill Me do?

A relentless interview that asks every frontier question at once, round by round. Batch Grill Me is an agent skill from DouglasNeuroInformatics/OpenDataCapture. A relentless interview that asks every frontier question at once, round by round.

When should I use Batch Grill Me?

Batch Grill Me fits situations like: tasks that involve Requirements gathering.

How do I install Batch Grill Me in Claude Code?

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

How do I install Batch Grill Me in Codex?

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

Can I use Batch 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 DouglasNeuroInformatics/OpenDataCapture --skill batch-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/batch-grill-me, .gemini/skills/batch-grill-me, .github/skills/batch-grill-me and .opencode/skills/batch-grill-me in your project.

What does Batch Grill Me need to run?

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

Does Batch 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 Batch 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 Batch Grill Me use?

Batch 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 Batch Grill Me use?

About 408 tokens (SKILL.md is roughly 1.6k 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 Batch Grill Me?

Skills that share tags, products or a category with Batch Grill Me: Using Superpowers (farm-fe/farm, 5.6k stars), Interview Me (addyosmani/agent-skills, 104k stars), Brainstorming (obra/superpowers, 297k stars) and Grilling (pietheinstrengholt/rssmonster, 564 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Batch Grill Me?

DouglasNeuroInformatics (a GitHub organization) maintains it in DouglasNeuroInformatics/OpenDataCapture, which has 119 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 7, 2026.

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