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Moai Ref Jev Question Design

OrganizationPopular
modu-ai
moai-ref-jev-question-design

Question-design reference for the gated TypeSafe System One judgment capability. How to author typed questions that return useful, honest answers: compute the question in code, always admit a no-match answer, keep the supplied state small, phrase noul questions so both polarities are expressible. Carries the question-design rules ONLY — never the call path; where and how to reach the capability is the MCP catalogue's concern.

Overview

Publishermodu-ai
Repositorymoai-adk
Skill namemoai-ref-jev-question-design
Stars
1.2K
Forks
226
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by modu-ai on GitHub. Read the source before you install it.

Installation

Install the Moai Ref Jev Question Design AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-ref-jev-question-design
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/modu-ai/moai-adk.git /tmp/moai-adk
mkdir -p .claude/skills
cp -r /tmp/moai-adk/.claude/skills/moai-ref-jev-question-design .claude/skills/moai-ref-jev-question-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Moai Ref Jev Question Design in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Moai Ref Jev Question Design on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Moai Ref Jev Question Design is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Jev Question Design

The capability answers typed questions over a supplied state and returns a typed answer with the model's probability. It generates no text and decides nothing: the answer is a labelled model signal a person reads, never a completion predicate, a merge approval, a queue mutation, or any other decision that is hard to undo. A narrow exception is the todo --auto cycle's own candidate ranking, the auto-scoped ranking exception, which sets selection order only; it is an in-process consumer behind the default-off gate. Good questions keep that contract; bad questions waste the call or manufacture false confidence. Four rules govern question design.

Rule 1 — Compute the question in code

The question must be computed from the caller's inputs by the caller's code, not improvised as free-form prose at call time. A computed question is reviewable, stable across calls, and testable: the same inputs always compose the same question, and a change in phrasing shows up as a diff. Compose question text with the project's language's string formatting from named inputs — never hand-type a question into a prompt-shaped literal that drifts from the code that acts on its answer.

Rule 2 — Always admit a no-match answer

A choice question whose option set forces a pick manufactures confidence the call cannot have. Every choice question carries an explicit no-match option ("none of these fit", "no listed option") so the answer can say the honest thing. Same discipline for noul questions: ask only when both YES and NO are answers a reader would treat as informative — a question with only one meaningful answer is rhetoric, not a question.

Rule 3 — Keep the state small

Input is charged per token and output is not, so cost tracks state size, not question count. Several questions over one state in one call keep answers mutually consistent and cost nothing extra. Supply the minimum denatured facts the question needs — the axis being judged, the options, the counts that matter — and nothing else. Oversize payloads are refused unsent; a state that must be truncated to fit is a signal to redesign the question, not to trim the payload by hand.

Rule 4 — Phrase both noul polarities, and record which one you asked

A noul question has two phrasings for every underlying question ("is the premise alive" vs "is the premise dead"), and the same YES means opposite things under them. Compose the polarity deliberately, record it next to the question id in the caller's own output, and never re-label an answer into the opposite polarity after the fact. An answer read under the wrong polarity is worse than no answer: it is a confident wrong signal attributed to a model that never made that claim.

What an absence means

Every non-answer is a typed unavailability (gate off, no credential, endpoint unreachable, oversize, secret refused unsent). Each is a NO SIGNAL, never a negative answer: an unavailable judgment means the consumer proceeds without it, exactly as before the call was written. Silent defaulting — treating an absent answer as either polarity, or as "no difference found" — is the failure mode these rules exist to prevent.

Frequently asked questions

What does the Moai Ref Jev Question Design AI skill do?

Question-design reference for the gated TypeSafe System One judgment capability. How to author typed questions that return useful, honest answers: compute the question in code, always admit a no-match answer, keep the supplied state small, phrase noul questions so both polarities are expressible. Carries the question-design rules ONLY — never the call path; where and how to reach the capability is the MCP catalogue's concern.

Why use Moai Ref Jev Question Design on TypingMind?

Because you install it once and use it with any model. Moai Ref Jev Question Design is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Moai Ref Jev Question Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-ref-jev-question-design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Moai Ref Jev Question Design?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Moai Ref Jev Question Design?

As many as you like. As long as a model supports skills, you can use Moai Ref Jev Question Design with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Moai Ref Jev Question Design AI skill free?

Yes. It is published on GitHub by modu-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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