graphical-apps-development-cursorrules-prompt-file

graphical-apps-development-cursorrules-prompt-file is a cursor rule for Cursor from PatrickJS/awesome-cursorrules. It costs 585 tokens per session, scanned A, original, CC0-1.0.

A set of Cursor rules for building graphical and API-based applications from connected components, including applications powered by large language models.

In plain words
What is it for?
Use it to design interactive graphical tools and connect model-driven components such as chat interfaces and language-model calls.
Why use it?
It gives the agent a consistent way to separate data, logic, views, and connections between parts of the application.

Cursor rule for Cursor

Written for Cursor: a Cursor rule (.mdc). Also seen: mentions Cursor.

Good fit Use it to design interactive graphical tools and connect model-driven components such as chat interfaces and language-model calls.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/patrickjs/awesome-cursorrules/graphical-apps-development-cursorrules-prompt-file
About the project

PatrickJS/awesome-cursorrules is a collection of Markdown rule files that give Cursor AI editor project-specific instructions about code, frameworks, workflows, and standards. Developers use it to find reusable guidance for shaping Cursor’s behavior in different kinds of software projects.

PatrickJS/awesome-cursorrules · 41,029 stars · on GitHub

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.

Clone the repo
git clone --depth 1 https://github.com/PatrickJS/awesome-cursorrules

Made for: Cursor.

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 graphical-apps-development-cursorrules-prompt-file

README.md
[![agentmods](https://agentmods.dev/badge/rules/patrickjs/awesome-cursorrules/graphical-apps-development-cursorrules-prompt-file/github.svg)](https://agentmods.dev/rules/patrickjs/awesome-cursorrules/graphical-apps-development-cursorrules-prompt-file)
Your own site
<a href="https://agentmods.dev/rules/patrickjs/awesome-cursorrules/graphical-apps-development-cursorrules-prompt-file"><img src="https://agentmods.dev/badge/rules/patrickjs/awesome-cursorrules/graphical-apps-development-cursorrules-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 graphical-apps-development-cursorrules-prompt-file

Your own site · 80×15
<a href="https://agentmods.dev/rules/patrickjs/awesome-cursorrules/graphical-apps-development-cursorrules-prompt-file"><img src="https://agentmods.dev/badge/rules/patrickjs/awesome-cursorrules/graphical-apps-development-cursorrules-prompt-file.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 585 This file is loaded in full into every session.
When invoked 585 The same file — it is already loaded in full.
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 $0.00585 $0.00585
Opus 5.5 $0.00234 $0.00234
Sonnet 5.5 $0.00117 $0.00117
Haiku 4.5 $0.00059 $0.00059

Measured 1mo ago against content hash f0a5d2f51da3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

graphical-apps-development-cursorrules-prompt-file 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 1mo 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.

rules/graphical-apps-development-cursorrules-prompt-file.mdc · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Synopsis

Pyllments is a Python library for building graphical and API-based LLM applications through chaining together Elements in a potentially cyclic graph. Elements and Payloads are a type of Components. A Component is composed of a Model and Views. The Model handles the underlying data and logic, while the Views are the UI components that are used to display display the interactive UI used to interact with the Model.

An Element is a type of Component that is responsible for a specific function. For instance, an Element can handle the LLM selection and generation by making calls to LLM providers. Another Element may handle the chat interface, whose Model would store the chat message history, and the Views would be the text boxes and buttons used to interact with the chat interface. Elements are meant to connect to other Elements through Ports. All that is necessary to link Elements together is to link the output port of one Element to the input port of Another. Each output port may have unlimited input ports it connects to, and each input port may have unlimited output ports it connects to. The ports follow an observer pattern where the output port is the subject and the input port is the observer. The subject notifies the observers when a certain event that we set within the Element is triggered.

In order to connect an input and and output port, they need to be setup in a manner that sends and receives the same type of Payload. A Payload is also a Component with a Model as well as views responsible for the display logic. Elements may receive payloads and use methods of the Payload to generate the views for the UI. The sending Element is responsible for packing data into the Payload.

I am currently working on making this a fully-fledged framework.

Project Organization

Here is an example of the file structure of an individual element:

chat_interface:

  • init.py
  • chat_interface_element.py
  • chat_interface_model.py
  • css:
    • buttons.css
    • column.css
    • input.css

Read the full file on GitHub · 42 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. 1mo ago First seen · 42 lines · 585 tokens per session scan A f0a5d2f51da3

Subscribe to this mod's changes

graphical-apps-development-cursorrules-prompt-file is a cursor rule published in the GitHub repository PatrickJS/awesome-cursorrules (41,029 stars, last pushed 5mo ago), licensed CC0-1.0. It adds 585 tokens to every session, about $0.0023 per session on Opus 5.5. 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.

Related

Other cursor rules, from other repositories

pytorch-deep-learning

A set of Python guidelines for building and training deep-learning models with PyTorch, a machine-learning framework. It covers model structures, training loops, loss calculation, optimization, and choosing available hardware.

holtwood/awesome-cursorrules-zh · 316 tokens

scikit-learn-machine-learning

A set of Python guidelines for building machine-learning models with scikit-learn, a library for training models from data. It covers preparing data, linking processing steps into pipelines, training models, and checking results with cross-validation.

holtwood/awesome-cursorrules-zh · 181 tokens

tensorflow-handbook

A set of guidelines for building and training neural networks with TensorFlow and Keras, Python tools for machine learning. It covers sequential models, model training, distributed training, and using multiple GPUs.

holtwood/awesome-cursorrules-zh · 169 tokens

matplotlib-visualization

A set of Python guidelines for creating charts with Matplotlib, a library for displaying data visually. It covers basic charts, including scatter plots, line charts, histograms, box plots, and multi-chart layouts.

holtwood/awesome-cursorrules-zh · 172 tokens

pandas-best-practices

A set of Python guidelines for working with pandas, a library for handling table-shaped data. It covers safe data changes and faster operations that work on whole columns instead of looping through rows.

holtwood/awesome-cursorrules-zh · 152 tokens

cursorrules

A Cursor rule file for computer-vision projects, where software analyzes images or video. It covers image processing, object detection, image segmentation, face recognition, machine-learning tools, and project practices.

holtwood/awesome-cursorrules-zh · 777 tokens