moai-domain-backend

moai-domain-backend is a skill for Claude Code from modu-ai/moai-adk. It costs 39 tokens per session (1,865 once invoked), scanned A, original, Apache-2.0.

A backend development guide for the server-side parts of software, including APIs, databases, microservices, authentication, and authorization.

In plain words
What is it for?
Use it when designing APIs, connecting PostgreSQL, MongoDB, or Redis, building microservices, adding login and permissions, or improving backend performance.
Why use it?
It helps organize the logic behind an application and addresses common needs such as storing data, connecting services, controlling access, and handling growth.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Claude Code.

Good fit Use it when designing APIs, connecting PostgreSQL, MongoDB, or Redis, building microservices, adding login and permissions, or improving backend performance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/modu-ai/moai-adk/moai-domain-backend
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 · 1,206 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-domain-backend
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.

agentmods badge for moai-domain-backend

README.md
[![agentmods](https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-domain-backend/github.svg)](https://agentmods.dev/skills/modu-ai/moai-adk/moai-domain-backend)
Your own site
<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai-domain-backend"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-domain-backend/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.

agentmods 80×15 button for moai-domain-backend

Your own site · 80×15
<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai-domain-backend"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-domain-backend.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,865 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.01865
Opus 5 $0.00019 $0.00932
Sonnet 5 $0.00008 $0.00373
Haiku 4.5 $0.00004 $0.00186

Measured 12d ago against content hash 259d3f799429, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

moai-domain-backend scanned grade A 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 12d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(npx:*), Bash(node:*), Bash(uv:*), Bash(pip:*), Bash(pytest:*), Bash(ruff:*), Bash(docker:*), Bash(curl:*), Bash(go:*), Bash(cargo:*), Grep, Glob
.claude/skills/moai-domain-backend/SKILL.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Backend Development Specialist

Quick Reference

Backend Development Mastery - Comprehensive backend development patterns covering API design, database integration, microservices, and modern architecture patterns.

Core Capabilities:

  • API Design: REST, GraphQL, gRPC with OpenAPI 3.1
  • Database Integration: PostgreSQL, MongoDB, Redis, caching strategies
  • Microservices: Service mesh, distributed patterns, event-driven architecture
  • Security: Authentication, authorization, OWASP compliance
  • Performance: Caching, optimization, monitoring, scaling

When to Use:

  • Backend API development and architecture
  • Database design and optimization
  • Microservices implementation
  • Performance optimization and scaling
  • Security integration for backend systems

Implementation Guide

API Design Patterns

RESTful API Architecture:

Create a FastAPI application with authentication and response models. Define a Pydantic UserResponse model with id, email, and name fields. Implement list_users and create_user endpoints with HTTPBearer security dependency. The list endpoint returns a list of UserResponse objects, while the create endpoint accepts a UserCreate model and returns a single UserResponse.

GraphQL Implementation:

Use Strawberry to define GraphQL types. Create a User type with id, email, and name fields. Define a Query type with a users resolver that returns a list of User objects asynchronously. Generate the schema by passing the Query type to strawberry.Schema.

Database Integration Patterns

PostgreSQL with SQLAlchemy:

Define SQLAlchemy models using declarative_base. Create a User model with id as primary key, email as unique string, and name as string column. Configure the engine with connection pooling parameters including pool_size of 20, max_overflow of 30, and pool_pre_ping enabled for connection health checks.

MongoDB with Motor:

Create a UserService class that initializes with an AsyncIOMotorClient. Set up the database and users collection in the constructor. Create indexes for email (unique) and created_at fields. Implement create_user method that inserts a document and returns the inserted_id as string.

Read the full file on GitHub · 197 lines

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.

  1. 12d ago First seen · 197 lines · 39 tokens per session scan A 259d3f799429

Subscribe to this mod's changes

moai-domain-backend is a skill published in the GitHub repository modu-ai/moai-adk (1,206 stars, last pushed yesterday), licensed Apache-2.0. It adds 39 tokens to every session and 1,865 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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