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Moai Foundation Quality

OrganizationPopular
modu-ai
moai-foundation-quality

TRUST 5 quality principles and how MoAI enforces them through agents, the 3-level harness, /moai gate, and sync-auditor scoring. Use for code review, quality gate checks, coverage targets, or TRUST 5 compliance.

Overview

Publishermodu-ai
Repositorymoai-adk
Skill namemoai-foundation-quality
Stars
1.2K
Forks
226
Bundled files
6
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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Moai Foundation Quality 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-foundation-quality
  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-foundation-quality .claude/skills/moai-foundation-quality
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Moai Foundation Quality 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 Foundation Quality 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 Foundation Quality 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.

TRUST 5 Quality Principles and Enforcement

This skill provides background knowledge on MoAI's quality model: the five TRUST 5 principles, how agents enforce them, the 3-level harness, and the language-aware toolchains that /moai gate runs. MoAI does NOT ship a quality-validation library — quality is enforced through agents (manager-develop, sync-auditor), slash commands (/moai gate, /moai review), and the harness (minimal/standard/thorough).

Quick Reference

TRUST 5 Principles (Tested, Readable, Unified, Secured, Trackable) are quality dimensions, not code objects. Every code change is evaluated against all five.

Quality Mechanisms (the real enforcement layer):

  • /moai gate — runs lint + format + type-check + test in parallel as a pre-commit quality gate (<30s). Auto-detects the project language and runs the appropriate toolchain.
  • manager-develop (run-phase) — implements via cycle_type ∈ {tdd, ddd, autofix}; the chosen cycle shapes how tests and behavior are produced.
  • sync-auditor — independent skeptical quality assessment with 4-dimension scoring (Functionality, Security, Craft, Consistency), scored as the harmonic mean of dimensions, not the average.
  • 3-level harness — minimal (fast validation), standard (default checks), thorough (full sync-auditor + TRUST 5). Auto-determined by the Complexity Estimator based on SPEC scope.
  • LSP quality gates — phase-specific thresholds (run: zero errors/type-errors/ lint-errors; sync: zero errors, max 10 warnings, clean LSP).

The MoAI Quality Model

MoAI does not provide a Python SDK or any library for quality validation. Quality is enforced through the workflow, the agents, and the gate commands. This skill documents how those pieces fit together so a Claude invocation can reason about quality correctly.

How TRUST 5 is enforced per phase

PhaseQuality checkOwner
planCapture LSP baseline; identify quality risks in the planmanager-spec
runZero errors/type-errors/lint-errors; tests pass; coverage metmanager-develop (cycle_type shapes the approach)
syncLint clean (≤10 warnings); docs updated; TRUST 5 re-affirmedmanager-docs, then sync-auditor scores
auditIndependent 4-dimension scoring (Functionality/Security/Craft/Consistency)sync-auditor

cycle_type and quality (manager-develop)

The run-phase cycle_type selects how quality is built in:

  • tdd — Test-Driven Development (RED-GREEN-REFACTOR). Behavior is specified by a failing test first, then implemented. Best for new features.
  • ddd — Domain-Driven refactoring (ANALYZE-PRESERVE-IMPROVE). Behavior-preserving transformation of existing code. Best for refactoring and debt reduction.
  • autofix — diagnostic-driven fixing (LSP / lint / type errors). Best for /moai fix and regression recovery.

See Skill("moai-workflow-tdd"), Skill("moai-workflow-ddd"), and Skill("moai-workflow-loop") for the per-cycle mechanics.

TRUST 5 Principles

TRUST 5 is a mnemonic for five quality dimensions. Treat each as a question to ask of any change, not a score to compute.

  • T — Tested: Does the change have tests? Are they green? Is coverage at or above the project threshold (85%+ by default)? For existing untested code, are characterization tests capturing current behavior?
  • R — Readable: Is naming clear? Are comments in English (or the configured code-comments language)? Could a new contributor follow the logic without a walkthrough?
  • U — Unified: Does the change match the file's existing conventions (naming, error handling, imports)? Is it formatted with the project's formatter? Consistency within a file beats personal preference.
  • S — Secured: Are all external inputs validated? Does it follow OWASP guidance for web security? Are credentials kept out of version control (environment variables instead)? See moai-ref-owasp-checklist.
  • T — Trackable: Does the commit follow Conventional Commits? Does it reference the SPEC / issue it implements? Can the change be traced back to a requirement?

For the per-principle assessment checklist and the "not applicable" guard, see TRUST 5 Principles.

Quality Gates and the 3-Level Harness

The harness level controls how deep quality validation goes. It is auto-determined by the Complexity Estimator based on SPEC scope.

LevelWhat runsWhen
minimalFast validation only (lint + type + test)Small SPECs, low risk
standardDefault checks (lint + type + test + format)Most SPECs
thoroughFull sync-auditor + 4-dimension TRUST 5 scoringLarge SPECs, high risk

/moai gate is the lightweight pre-commit entry point: it runs lint + format + type-check + test in parallel and applies no fixes. It is the fastest way to get a quality signal. For deeper review use /moai review.

Language-Aware Toolchains

The quality gate auto-detects the project language and runs the appropriate toolchain. Tools that are not installed are skipped gracefully; projects with no recognized language marker pass the gate silently. This skill is language-neutral — the 16 supported languages are treated equally.

LanguageLintFormatTest
Gogo vet → golangci-lintgofmtgo test
Pythonruffblackpytest
TypeScript / JavaScripteslintprettierjest / mocha
Rustcargo clippyrustfmtcargo test
Java / Kotlin(per project linter)(per project)junit
Rubyrubocoprubocoprspec
PHPphpstan / phpcsphp-cs-fixerpest / phpunit
...(16 languages supported; auto-detected)

For the full toolchain mapping and how /moai gate detects the language, see Language-Aware Toolchains.

Module Reference

Each module is loaded on demand. Load the one relevant to the current task.

  • TRUST 5 Principles — the five dimensions as assessment questions, per-principle checklists, and the "not applicable" guard.
  • Proactive Analysis — how /moai gate, /moai review, and /moai loop surface quality issues proactively, and how to triage findings.
  • Best Practices — using WebSearch / WebFetch for up-to-date framework/library best practices, and validating against them.
  • Integration Patterns — how quality fits into the SPEC workflow phases (plan/run/sync) and the harness levels.

Reference Files

  • examples.md — worked TRUST 5 assessment examples and gate/review triage walkthroughs. Load when applying TRUST 5 to a concrete change.
  • reference.md — the quality-mechanism reference: harness level detail, language toolchain table, agent roles, and the sync-auditor scoring model. Load when you need the authoritative mapping.

Works Well With

Agents (see .moai/config/sections/delegation.yaml for the 13-agent catalog):

  • manager-develop — run-phase implementation; owns the Tested and Unified principles through cycle_type.
  • sync-auditor — independent 4-dimension quality scoring (Functionality / Security / Craft / Consistency).
  • Explore (Anthropic built-in) — read-only codebase exploration before assessing quality.

Skills:

  • moai-foundation-core — TRUST 5 framework cross-reference and SPEC workflow foundations.
  • moai-ref-testing-pyramid — test-pyramid strategy, coverage targets, and test patterns.
  • moai-ref-owasp-checklist — OWASP Top 10 security checklist for the Secured principle.
  • moai-workflow-tdd / moai-workflow-ddd / moai-workflow-loop — the cycle_type workflows that manager-develop uses.

Commands:

  • /moai gate — pre-commit quality gate (lint + format + type + test).
  • /moai review — code review with security and MX-tag compliance.
  • /moai fix — auto-detect and fix LSP/lint/type errors.
  • /moai loop — iterative fix loop until resolved or max iterations.

Common Rationalizations

RationalizationReality
"The linter warnings are false positives"False positives should be suppressed with inline comments. Ignoring them trains the team to ignore real issues.
"Security scanning can wait until before release"Security vulnerabilities compound. Late discovery means expensive rework. Scan continuously.
"Coverage is high enough, the remaining 15% is edge cases"Edge cases are where production bugs live. The uncovered code is the riskiest code.
"Code review is subjective, automation is sufficient"Automation catches syntax and patterns. Reviews catch design flaws, naming confusion, and missing abstractions.
"TRUST 5 is too bureaucratic for a hotfix"Hotfixes without quality gates introduce the next hotfix. TRUST 5 on a hotfix is the minimum, not the maximum.

Chesterton's Fence: Before removing a quality check, understand why it was added. Removing a gate without understanding its history repeats the failure it was designed to prevent.

Shift Left: The earlier a defect is found, the cheaper it is to fix. Quality checks belong in the development loop, not at the end of it.

Red Flags

  • Linter or type-checker warnings suppressed globally instead of per-line
  • OWASP checklist not consulted when handling user input or authentication
  • Coverage report not generated for a commit that adds new functionality
  • TRUST 5 dimension skipped with "not applicable" without justification
  • Quality report generated but no action taken on identified issues

Verification

  • Linter runs clean or remaining warnings have inline suppression comments with reasons (show the command output)
  • OWASP checklist reviewed for security-relevant changes (show checklist references)
  • Coverage report generated and threshold met (show tool output)
  • All five TRUST 5 dimensions assessed (show assessment for each)
  • Quality findings triaged with a resolution plan for each
  • No global rule disabling in linter configuration

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Moai Foundation Quality AI skill do?

TRUST 5 quality principles and how MoAI enforces them through agents, the 3-level harness, /moai gate, and sync-auditor scoring. Use for code review, quality gate checks, coverage targets, or TRUST 5 compliance.

Why use Moai Foundation Quality on TypingMind?

Because you install it once and use it with any model. Moai Foundation Quality 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 Foundation Quality in TypingMind?

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

Which AI models can use Moai Foundation Quality?

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 Foundation Quality?

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

Is the Moai Foundation Quality 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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