awesome-cursor-rules-mdc is a generator that creates Cursor MDC rule files from structured library information, using semantic search and language models to gather and organize guidance. Developers use it to produce reusable rules for libraries in Cursor, and the catalogue includes 200 of those rules.
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.
git clone --depth 1 https://github.com/sanjeed5/awesome-cursor-rules-mdcWrote 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.
[](https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/pyqt)<a href="https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/pyqt"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/pyqt.svg" alt="Measured on agentmods" height="20"></a>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 | $0.02334 | $0.02334 |
| Opus 5 | $0.01167 | $0.01167 |
| Sonnet 5 | $0.00467 | $0.00467 |
| Haiku 4.5 | $0.00233 | $0.00233 |
Grade A, and why
pyqt 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PyQt Best Practices
This guide outlines essential practices for building robust, scalable, and maintainable PyQt applications. Adhere to these rules for consistent, high-quality code.
1. UI Design: Qt Designer & Dynamic Loading
Always design your UI visually with Qt Designer (or Qt Design Studio). Keep the generated .ui files pristine. Load them dynamically at runtime or integrate the pyuic-generated code via inheritance without modification. This separates design from logic and simplifies UI updates.
❌ BAD: Hand-editing pyuic-generated files
# ui_mainwindow.py (DO NOT EDIT THIS FILE DIRECTLY)
# This file was generated by pyuic6...
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
# ... generated code ...
self.my_custom_button.clicked.connect(self.my_logic_function) # Added here
✅ GOOD: Dynamic loading with QUiLoader (PyQt6)
from PyQt6.QtWidgets import QApplication, QWidget
from PyQt6.uic import loadUi
class MyMainWindow(QWidget):
def __init__(self):
super().__init__()
loadUi("mainwindow.ui", self) # Load UI dynamically
self.my_button.clicked.connect(self._on_button_clicked)
def _on_button_clicked(self):
print("Button clicked!")
if __name__ == "__main__":
app = QApplication([])
window = MyMainWindow()
window.show()
app.exec()
✅ GOOD: Single inheritance with pyuic-generated code
# ui_mainwindow.py (Generated by `pyuic6 -o ui_mainwindow.py mainwindow.ui`)
# DO NOT EDIT THIS FILE.
from PyQt6 import QtWidgets # ... other imports ...
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
# ... generated UI setup code ...
pass # No signal connections here
# main.py (Your application logic)
from PyQt6.QtWidgets import QApplication, QMainWindow
from ui_mainwindow import Ui_MainWindow # Import generated UI
class MyMainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.ui = Ui_MainWindow()
self.ui.setupUi(self) # Set up the UI on this window
self.ui.my_button.clicked.connect(self._on_button_clicked)
def _on_button_clicked(self):
print("Button clicked from inherited UI!")
if __name__ == "__main__":
app = QApplication([])
window = MyMainWindow()
window.show()
app.exec()
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 · 306 lines · 2,334 tokens per session scan A b9b66407efcc
pyqt is a cursor rule published in the GitHub repository sanjeed5/awesome-cursor-rules-mdc (3,571 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 2,334 tokens to every session, about $0.0117 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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