Agent skill

Grill Duo

by murray17 in murray17/rovai-ai

Clarify or stress-test a plan, requirement, design or decision through user questions and one fixed Thread partner's independent review.

MITAuto-check passedTesting & QA

Install Grill Duo

skills CLI
$ npx skills add murray17/rovai-ai --skill grill-duo -a claude-code

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

GitHub CLI
$ gh skill install murray17/rovai-ai grill-duo --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/murray17/rovai-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/grill-duo .claude/skills/grill-duo && 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-duo
GitHub stars
157
Token cost
~775 tokens
SKILL.md length
399 words
Files
4
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Clarify or stress-test a plan, requirement, design or decision through user questions and one fixed Thread partner's independent review.

  • Works in 5 steps: Prepare 1-4 independent questions with… → Send the partner the goal, confirmed… → The partner returns one reply with a… → …
  • Tasks that involve Load testing
  • SKILL.md covers Roles and partner, One open round and Messages and completion
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Grill Duo is an agent skill from murray17/rovai-ai. Clarify or stress-test a plan, requirement, design or decision through user questions and one fixed Thread partner's independent review. Applies to the initiator and invited reviewer during that exchange; use grill-duo-with-docs when confirmed project documentation must also be maintained.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `agents/openai.yaml`).

It sits in Testing & QA, covering Load testing. The repository describes itself as: Desktop and web workspace for lasting teams of coding agents, with shared conversations, task delegation, and collaborative memory. The licence is MIT.

When your agent uses it

  • Tasks that involve Load testing

Example prompts

  • “/grill-duo”

Workflow steps

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

  1. Prepare 1-4 independent questions with established prerequisites, numbered Q1-Q4. Defer questions that depend on this round's answers.
  2. Send the partner the goal, confirmed facts, options and constraints, without your recommendation.
  3. The partner returns one reply with a recommendation, main reason and risk for each original number. They do not delegate, add questions…
  4. Present all open questions to the user together: choices, tradeoffs, your recommendation and the partner's view, including disagreements…
  5. Close each question only when answered, cancelled or invalidated. Start the next round after all current questions close.

What it can do on your machine

Read from SKILL.md and the folder at commit e1d6f3e. 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 Duo loads about 775 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 399 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~775

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 murray17/rovai-ai at commit e1d6f3e, republished under its MIT licence (© murray17). 399 words, ~775 tokens.

Download SKILL.mdSave it as .claude/skills/grill-duo/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
grill-duo
description
Clarify or stress-test a plan, requirement, design or decision through user questions and one fixed Thread partner's independent review. Applies to the initiator and invited reviewer during that exchange; use grill-duo-with-docs when confirmed project documentation must also be maintained.

Grill Duo

The initiator asks questions; one fixed partner reviews independently. Investigate facts available in code, authoritative documents, tools, current input or Thread history. Ask the user for genuine choices. Use the user's language.

Roles and partner

Use trusted sender identity, the triggering request and direct replies:

  • A user start/answer or the current partner's direct reply to the valid current invitation resumes the initiator.
  • A direct Grill Duo review request makes you the partner for that request only.
  • Old, invalid or late replies are supplementary; they cannot advance, roll back or reopen the exchange.

Choose a relevant partner who is not you, remains in the Thread and can receive work. Address a trusted Agent ID. Keep that partner unless the user requests a change, they leave or become unavailable, or the topic moves beyond their useful expertise; explain a change. With none available, disclose solo questioning and keep the same round rules.

One open round

  1. Prepare 1-4 independent questions with established prerequisites, numbered Q1-Q4. Defer questions that depend on this round's answers.
  2. Send the partner the goal, confirmed facts, options and constraints, without your recommendation.
  3. The partner returns one reply with a recommendation, main reason and risk for each original number. They do not delegate, add questions, decide for the user or implement.
  4. Present all open questions to the user together: choices, tradeoffs, your recommendation and the partner's view, including disagreements. Ask for answers by number.
  5. Close each question only when answered, cancelled or invalidated. Start the next round after all current questions close.
Show full SKILL.md (140 more words)Show less

Keep unanswered questions, numbers and existing advice unchanged. Add no new questions mid-round. If the user changes a question, options or constraints, keep its number and re-review only that question; accept only a direct reply to the updated invitation. Partial answers close only the answered items.

Messages and completion

  • Partner request: rovai send --to <partner-agent-id> --body <questions>.
  • Partner response: rovai send --to <requester-agent-id> --body <advice>.
  • User questions or final confirmation: rovai send --public-only --to-user --body <questions-or-summary>.

After dispatch, finish other current inputs and end while waiting for the reply. Follow CLI recovery on failure; do not blindly resend.

When no important questions remain, summarize the goal, decisions, constraints and major risks. Obtain the user's confirmation of that shared understanding before implementation, then close the questioning exchange. Solo questions, group debates, unrelated messages and closed exchanges do not start this workflow.

© murray17, MIT. 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 3 other files in skills/grill-duo of murray17/rovai-ai.

  • SKILL.md
  • LICENSE
  • NOTICE
  • agents/openai.yaml

Open the folder on GitHubat commit e1d6f3e

Compare with similar skills

Grill Duo 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 Duo compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Grill Duo this skillmurray17/rovai-ai157—~775Automated safety check: PassMIT
Writing Livekit Scenarioslivekit-examples/agent-starter-python2641 repos~2.5kAutomated safety check: PassMIT
Go Testingcxuu/golang-skills1721 repos~1.3kAutomated safety check: PassApache-2.0
Goalcraftgrp06/goalcraft102—~3.8kAutomated safety check: PassMIT
Thinking Partnermattnowdev/thinking-partner206—~4.4kAutomated safety check: PassMIT
Visionkunchenguid/vision331—~2.9kAutomated safety check: PassMIT

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  • Analyze Agent Codebase

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  • Grill Duo With Docs

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Categories

Questions about Grill Duo

What does Grill Duo do?

Clarify or stress-test a plan, requirement, design or decision through user questions and one fixed Thread partner's independent review. Grill Duo is an agent skill from murray17/rovai-ai. Clarify or stress-test a plan, requirement, design or decision through user questions and one fixed Thread partner's independent review.

When should I use Grill Duo?

Grill Duo fits situations like: tasks that involve Load testing.

How do I install Grill Duo in Claude Code?

Run `npx skills add murray17/rovai-ai --skill grill-duo -a claude-code`. Or copy the skill folder (skills/grill-duo in murray17/rovai-ai) into .claude/skills/grill-duo in your project. Claude Code loads it when a task matches its description.

How do I install Grill Duo in Codex?

Run `npx skills add murray17/rovai-ai --skill grill-duo -a codex`. Or copy the skill folder (skills/grill-duo in murray17/rovai-ai) into .agents/skills/grill-duo in your project. Codex loads it when a task matches its description.

Can I use Grill Duo 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 murray17/rovai-ai --skill grill-duo -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-duo, .gemini/skills/grill-duo, .github/skills/grill-duo and .opencode/skills/grill-duo in your project.

What does Grill Duo need to run?

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

Does Grill Duo 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 Duo 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 Duo use?

Grill Duo is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Grill Duo use?

About 775 tokens (SKILL.md is roughly 3.1k 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 Duo?

Skills that share tags, products or a category with Grill Duo: Writing Livekit Scenarios (livekit-examples/agent-starter-python, 264 stars), Go Testing (cxuu/golang-skills, 172 stars), Goalcraft (grp06/goalcraft, 102 stars) and Thinking Partner (mattnowdev/thinking-partner, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grill Duo?

murray17 (a GitHub user) maintains it in murray17/rovai-ai, which has 157 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 9, 2026.

Source: murray17/rovai-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.