Cursor rules for building custom frontends with Momen

Cursor rules for building custom frontends with Momen is a skill for Claude Code, Codex from AmariahAK/atlarix-skills. It costs 10 tokens per session (3,831 once invoked), scanned A, original, Apache-2.0.

A set of rules for building custom frontends on top of Momen.app, a headless backend service with a PostgreSQL database and generated GraphQL API. It also covers actionflows, real-time subscriptions, third-party integrations, AI agents, and Stripe payments.

In plain words
What is it for?
Use it when creating frontend applications with Momen GraphQL APIs, Apollo Client, real-time updates, backend workflows, AI agents, external APIs, or Stripe integration.
Why use it?
It gives the coding agent a consistent way to connect a custom interface to Momen's backend capabilities and data services.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Cursor.

Good fit Use it when creating frontend applications with Momen GraphQL APIs, Apollo Client, real-time updates, backend workflows, AI agents, external APIs, or Stripe integration.

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Install with agentmods
npx agentmods add skills/amariahak/atlarix-skills/acr-momen-cursurrules-prompt-file
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 AmariahAK/atlarix-skills --skill acr-momen-cursurrules-prompt-file
Clone the repo
git clone --depth 1 https://github.com/AmariahAK/atlarix-skills

Made for: Claude Code, Codex.

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 Cursor rules for building custom frontends with Momen

README.md
[![agentmods](https://agentmods.dev/badge/skills/amariahak/atlarix-skills/acr-momen-cursurrules-prompt-file/github.svg)](https://agentmods.dev/skills/amariahak/atlarix-skills/acr-momen-cursurrules-prompt-file)
Your own site
<a href="https://agentmods.dev/skills/amariahak/atlarix-skills/acr-momen-cursurrules-prompt-file"><img src="https://agentmods.dev/badge/skills/amariahak/atlarix-skills/acr-momen-cursurrules-prompt-file/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 Cursor rules for building custom frontends with Momen

Your own site · 80×15
<a href="https://agentmods.dev/skills/amariahak/atlarix-skills/acr-momen-cursurrules-prompt-file"><img src="https://agentmods.dev/badge/skills/amariahak/atlarix-skills/acr-momen-cursurrules-prompt-file.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,831 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00010 $0.03831
Opus 5 $0.00005 $0.01916
Sonnet 5 $0.00002 $0.00766
Haiku 4.5 $0.00001 $0.00383

Measured 8d ago against content hash 07c8f174e33e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

Cursor rules for building custom frontends with Momen scanned grade A with 0 findings 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 8d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/acr-momen-cursurrules-prompt-file/SKILL.md · 386 lines

How it starts

The opening of the file, as written. The whole thing — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cursor rules for building custom frontends with Momen

When to use this skill

Cursor rules for building custom frontends with Momen.app as headless BaaS with GraphQL API, actionflows, AI agents, and Stripe integration.

Source

Synced from https://github.com/PatrickJS/awesome-cursorrules/tree/main/rules/momen-cursurrules-prompt-file.mdc.

Instruction to developer: save this file as .cursorrules and place it in the root project directory

AI Persona:

You are an experienced Full-Stack Developer specializing in building custom frontend applications powered by Momen.app as a headless Backend-as-a-Service (BaaS). You understand GraphQL APIs, Apollo Client, real-time subscriptions, and modern frontend frameworks. You always follow best practices for type safety, security, and user experience. You break down tasks into manageable steps and approach problems systematically.

Technology Stack:

Backend: Momen.app (https://momen.app) - Full-stack no-code platform used as headless BaaS

  • PostgreSQL database with auto-generated GraphQL API
  • Actionflows for complex backend workflows
  • AI Agents with RAG, tool use, and multi-modal capabilities
  • Third-party API integrations
  • Stripe payment processing
  • Binary asset storage with CDN

Frontend: TypeScript/JavaScript with Apollo Client

  • Apollo Client v3.13.9 for GraphQL HTTP requests
  • subscriptions-transport-ws for WebSocket connections (NOT graphql-ws)
  • Modern UI framework (React/Next.js/Vue/Svelte as specified)
  • Tailwind CSS for styling (check online for latest integration methods)

Backend Architecture:

  1. All backend interactions occur through a unified GraphQL API - no traditional REST endpoints for data operations.
  2. HTTP endpoint: https://villa.momen.app/zero/{projectExId}/api/graphql-v2
  3. WebSocket endpoint: wss://villa.momen.app/zero/{projectExId}/api/graphql-subscription
  4. Must use Apollo Client v3.13.9 with subscriptions-transport-ws, NEVER use graphql-ws (incompatible with Momen).
  5. Maintain a single Apollo Client instance across the entire application.
  6. Maintain a single WebSocket connection that is reused throughout the app.
  7. Never cache anything at the GraphQL level.
  8. When user authentication status changes (login/logout), re-establish the WebSocket connection.

Read the full file on GitHub · 386 lines

Files

What ships with it

1 file 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.

  1. 8d ago First seen · 386 lines · 10 tokens per session scan A 07c8f174e33e

Subscribe to this mod's changes

Cursor rules for building custom frontends with Momen is a skill published in the GitHub repository AmariahAK/atlarix-skills (2 stars, last pushed 5d ago), licensed Apache-2.0. It adds 10 tokens to every session and 3,831 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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