A central development orchestrator that routes natural-language requests to specialized workflows and agents. It supports tasks such as planning, implementation, fixes, reviews, testing, and cleanup.

It helps coordinate software planning, coding, debugging, reviews, end-to-end testing, project tasks, and quality checks.

It gives development work a consistent entry point and selects the workflow suited to the request.

moai — Skill for Claude Code by modu-ai/moai-adk

About the project

MoAI-ADK is a Go-based harness that organizes and verifies Claude Code work across planning, implementation, synchronization, and review stages. Developers use it to structure agentic coding tasks, apply quality gates, and route work across language models, while the catalogue entries extend its workflow with skills, hooks, commands, MCP servers, instructions, and settings.

modu-ai/moai-adk · 1,236 stars · on GitHub · adk.mo.ai.kr

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add modu-ai/moai-adk --skill moai

Clone the repo

git clone --depth 1 https://github.com/modu-ai/moai-adk

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai/github.svg)](https://agentmods.dev/skills/modu-ai/moai-adk/moai)

Your own site

<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 7,849 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Agent Snooping · line 357
Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.

Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00062	$0.07849
Opus 5.5	$0.00025	$0.03140
Sonnet 5.5	$0.00012	$0.01570
Haiku 4.5	$0.00006	$0.00785

Measured 3d ago against content hash 1c09220a0efe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

moai scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

2. **Completion condition**: the end state that means "done". Where the condition is machine-verifiable (test exit code, lint-clean state, grep count, bounded turn count), express it in `/moai goal`-compatible form per `

.claude/skills/moai/SKILL.md · 407 lines

How it starts

The opening of the file, as written. The whole thing — 407 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pre-execution Context

!git status --porcelain 2>/dev/null || true !git branch --show-current 2>/dev/null || true

Essential Files

.moai/config/sections/*.yaml

Authority References

Rules and constraints governing all workflows are always loaded from these sources. Do NOT duplicate their content here:

Core identity, orchestration principles, agent catalog: AGENTS.md + .moai/config/sections/delegation.yaml
Quality gates, security boundaries: .claude/rules/moai/core/moai-constitution.md
SPEC workflow phases, token budgets: .claude/rules/moai/workflow/spec-workflow.md
Development methodologies (DDD/TDD): .claude/rules/moai/workflow/spec-workflow.md (Run Phase section)
Agent definitions: See .moai/config/sections/delegation.yaml. For agent creation, use builder-harness subagent (artifact_type=agent).
@MX tag rules and protocol: .claude/rules/moai/workflow/mx-tag-protocol.md

Routing Observation Ledger

When dispatching a subcommand or workflow, the orchestrator records the routing decision to the append-only routing-ledger (.moai/state/routing-ledger.jsonl) via moai harness ledger record at dispatch time — the request text is piped via stdin and only a privacy-preserving digest is stored, never verbatim user text. As the routed pipeline reaches gate points, machine evidence is appended via moai harness ledger evidence (gate exits, audit verdicts, verify-log paths). Outcome is never supplied as an input; it is finalized from machine evidence only. This observation is opt-in and fail-open — it never blocks routing. NOTE: recording depends on the orchestrator actually invoking moai harness ledger record at dispatch; when the observability opt-in is ON but that record call is not emitted, the ledger stays empty — an un-recorded dispatch, NOT an opt-in-off no-op. Do not read an empty routing-ledger as 'opt-in disabled'.

Intent Router

Raw User Input

$ARGUMENTS

Routing Instructions

[HARD] Route the Raw User Input above using the strict priority order below. Extract the FIRST WORD of the input for subcommand matching. All text after the subcommand keyword is CONTEXT to be passed to the matched workflow — it is NOT a routing signal and MUST NOT influence which workflow is selected.

Read the full file on GitHub · 407 lines

Files

What ships with it

46 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

3d ago Changed · +6 lines 1c09220a0efe
17d ago Changed · -1 lines d4961daa2989
19d ago Changed · +9 lines · +3 tokens per session 5691994c9995
1mo ago First seen · 393 lines · 59 tokens per session scan B 89c81faedacd

Subscribe to this mod's changes

moai is a skill published in the GitHub repository modu-ai/moai-adk (1,236 stars, last pushed today), licensed Apache-2.0. It adds 62 tokens to every session and 7,849 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Building agents Project management agentic-ai agentic-coding agentic-workflow ai-agent claude vibe-coding

github-issue

Creates well-documented GitHub issues (or comments on existing ones) from problems discussed in conversation. Investigates the codebase to map affected layers, files, and data flow, then writes up findings with acceptance criteria — without prescribing fixes. Use when a conversation has identified a problem that needs…

stempeck/agentfactory · 117 tokens

moai