Debugging Executions
n8n-io/n8n
Debug failed or wrong-output workflow executions using executions tools.
Question-design reference for the gated TypeSafe System One judgment capability.
$ npx skills add modu-ai/moai-adk --skill moai-ref-jev-question-design -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install modu-ai/moai-adk moai-ref-jev-question-design --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/modu-ai/moai-adk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/moai-ref-jev-question-design .claude/skills/moai-ref-jev-question-design && rm -rf skills-srcUse ~/.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/
Install the "moai-ref-jev-question-design" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-ref-jev-question-design into .claude/skills/moai-ref-jev-question-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moai-ref-jev-question-design", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-ref-jev-question-designType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add modu-ai/moai-adk --skill moai-ref-jev-question-design -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install modu-ai/moai-adk moai-ref-jev-question-design --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/modu-ai/moai-adk.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/moai-ref-jev-question-design .agents/skills/moai-ref-jev-question-design && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "moai-ref-jev-question-design" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-ref-jev-question-design into .agents/skills/moai-ref-jev-question-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moai-ref-jev-question-design", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add modu-ai/moai-adk --skill moai-ref-jev-question-design -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install modu-ai/moai-adk moai-ref-jev-question-design --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/modu-ai/moai-adk.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/moai-ref-jev-question-design .cursor/skills/moai-ref-jev-question-design && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "moai-ref-jev-question-design" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-ref-jev-question-design into .cursor/skills/moai-ref-jev-question-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moai-ref-jev-question-design", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/modu-ai/moai-adk.git --path .claude/skills/moai-ref-jev-question-design--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add modu-ai/moai-adk --skill moai-ref-jev-question-design -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install modu-ai/moai-adk moai-ref-jev-question-design --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/modu-ai/moai-adk.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/moai-ref-jev-question-design .gemini/skills/moai-ref-jev-question-design && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "moai-ref-jev-question-design" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-ref-jev-question-design into .gemini/skills/moai-ref-jev-question-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moai-ref-jev-question-design", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install modu-ai/moai-adk moai-ref-jev-question-designInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add modu-ai/moai-adk --skill moai-ref-jev-question-design -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/modu-ai/moai-adk.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/moai-ref-jev-question-design .github/skills/moai-ref-jev-question-design && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "moai-ref-jev-question-design" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-ref-jev-question-design into .github/skills/moai-ref-jev-question-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moai-ref-jev-question-design", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add modu-ai/moai-adk --skill moai-ref-jev-question-design -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install modu-ai/moai-adk moai-ref-jev-question-design --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/modu-ai/moai-adk.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/moai-ref-jev-question-design .opencode/skills/moai-ref-jev-question-design && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "moai-ref-jev-question-design" agent skill from https://github.com/modu-ai/moai-adk/tree/main/.claude/skills/moai-ref-jev-question-design into .opencode/skills/moai-ref-jev-question-design/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "moai-ref-jev-question-design", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
moai-ref-jev-question-designQuestion-design reference for the gated TypeSafe System One judgment capability.
Moai Ref Jev Question Design is an agent skill from modu-ai/moai-adk. 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.
Its SKILL.md is about 1k 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 Development. It works with Model Context Protocol. The repository describes itself as: Agentic development harness for Claude Code — SPEC-driven plan/run/sync, TRUST 5 quality gates, model+effort routing, and Claude×GLM multi-LLM cost control. Single Go binary, 16… The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 2aab5f7. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Moai Ref Jev Question Design loads about 1k tokens when it runs. Until then it costs about 115 tokens; SKILL.md has 518 words of instructions outside code blocks.
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.
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.
The full file from modu-ai/moai-adk at commit 2aab5f7, republished under its Apache-2.0 licence (© modu-ai). 518 words, ~1,005 tokens.
.claude/skills/moai-ref-jev-question-design/SKILL.md (or your agent's skills folder).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.
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.
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.
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.
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.
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.
© modu-ai, 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
Just SKILL.md in .claude/skills/moai-ref-jev-question-design of modu-ai/moai-adk.
Open the folder on GitHubat commit 2aab5f7
Moai Ref Jev Question Design 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Moai Ref Jev Question Design this skillmodu-ai/moai-adk | 1.2k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Debugging Executionsn8n-io/n8n | 207k | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| ast-grep Structural Searchcode-yeongyu/oh-my-openagent | 70k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Analyze Logsactivepieces/activepieces | 25k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| ReleasePrefectHQ/fastmcp | 28k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Claude Code Skillcodeaashu/claude-code | 3.4k | 1 repos | ~2.7k | Automated safety check: Pass | Proprietary |
n8n-io/n8n
Debug failed or wrong-output workflow executions using executions tools.
code-yeongyu/oh-my-openagent
Searches and rewrites code by syntax-tree shape across 25 languages with ast-grep, for codemods, structural queries and YAML lint rules, using a Python wrapper script.
activepieces/activepieces
Analyze application logs from the .evlog/logs/ directory. An agent skill from activepieces/activepieces.
PrefectHQ/fastmcp
Cut a FastMCP release end to end. An agent skill from PrefectHQ/fastmcp.
codeaashu/claude-code
Development conventions and architecture guide for the Claude Code CLI repository.
nrwl/nx
Run Nx generators with prioritization for workspace-plugin generators.
modu-ai/moai-adk
Builds hand-editable SVG diagrams from computed layout coordinates, lints the source and renders a 2x PNG, with rules for when mermaid is the better choice.
modu-ai/moai-adk
Reference for MoAI-ADK's core development principles: TRUST 5 quality gates, SPEC-first domain-driven workflow, agent delegation and token budgeting.
modu-ai/moai-adk
Manages SPEC documents for MoAI-ADK development, with GEARS or EARS requirement notation, acceptance criteria and a link into the Plan-Run-Sync workflow.
modu-ai/moai-adk
Drives test-first development through the RED, GREEN, REFACTOR cycle, with a config switch that selects between TDD and a DDD workflow for existing code.
modu-ai/moai-adk
Gives each SPEC its own Git worktree with a registry of active workspaces, base-branch sync and cleanup of merged ones, inside the MoAI-ADK workflow.
modu-ai/moai-adk
Watches a pull request's CI checks after creation, separates required from auxiliary failures, applies limited safe fixes and escalates anything semantic to you.
Works with
Categories
Question-design reference for the gated TypeSafe System One judgment capability. Moai Ref Jev Question Design is an agent skill from modu-ai/moai-adk. Question-design reference for the gated TypeSafe System One judgment capability.
Moai Ref Jev Question Design fits situations like: development work in your project.
Run `npx skills add modu-ai/moai-adk --skill moai-ref-jev-question-design -a claude-code`. Or copy the skill folder (.claude/skills/moai-ref-jev-question-design in modu-ai/moai-adk) into .claude/skills/moai-ref-jev-question-design in your project. Claude Code loads it when a task matches its description.
Run `npx skills add modu-ai/moai-adk --skill moai-ref-jev-question-design -a codex`. Or copy the skill folder (.claude/skills/moai-ref-jev-question-design in modu-ai/moai-adk) into .agents/skills/moai-ref-jev-question-design in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add modu-ai/moai-adk --skill moai-ref-jev-question-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/moai-ref-jev-question-design, .gemini/skills/moai-ref-jev-question-design, .github/skills/moai-ref-jev-question-design and .opencode/skills/moai-ref-jev-question-design in your project.
SKILL.md names no scripts, command-line tools or credentials: Moai Ref Jev Question Design is instructions for the agent only.
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.
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.
Moai Ref Jev Question Design 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.
About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Moai Ref Jev Question Design: Debugging Executions (n8n-io/n8n, 207k stars), ast-grep Structural Search (code-yeongyu/oh-my-openagent, 70k stars), Analyze Logs (activepieces/activepieces, 25k stars) and Release (PrefectHQ/fastmcp, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
modu-ai (a GitHub organization) maintains it in modu-ai/moai-adk, which has 1,232 GitHub stars. The repository holds 48 skills in this directory. The repository was last updated on October 9, 2026.
Source: modu-ai/moai-adk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.