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.

How modu-ai/moai-adk configures Claude Code

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 · 1,200 stars · on GitHub · adk.mo.ai.kr

Reuse

Borrowing it

Nothing to install: this file belongs to modu-ai/moai-adk. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/modu-ai/moai-adk/main/.claude/skills/moai/SKILL.md

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.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.svg" alt="Measured on agentmods" height="20"></a>

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 7,403 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	$0.00059	$0.07403
Opus 5	$0.00030	$0.03701
Sonnet 5	$0.00012	$0.01481
Haiku 4.5	$0.00006	$0.00740

Measured 4d ago against content hash 89c81faedacd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 4d 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 · 393 lines

How it starts

The opening of the file, as written. The whole thing — 393 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: CLAUDE.md
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 CLAUDE.md Section 4. 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 · 393 lines

Files

What ships with it

45 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.

4d 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 (1,200 stars, last pushed today), licensed Apache-2.0. It adds 59 tokens to every session and 7,403 once invoked, about $0.0003 per session on Opus 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-adk: Skill for Claude Code