Auto Clicker Github Full Link: Op
Paper: OP Auto Clicker (GitHub) — Complete Overview, Implementation, and Evaluation
Abstract
- Presents OP Auto Clicker: an open-source automated mouse-clicking tool hosted on GitHub. Describes motivation, features, architecture, implementation, security/privacy considerations, evaluation, and guidance for contributors.
- Introduction
- Background: auto-clickers automate mouse-clicks for repetitive tasks (testing, accessibility, macros). Risks include misuse (gaming, automated input restrictions) and potential security concerns.
- Scope: focuses on OP Auto Clicker implementation (cross-platform desktop app), design goals: simplicity, reliability, low resource use, configurable click patterns, safety features (rate limits, hotkey disables), and open-source licensing.
- Related Work
- Survey of common auto-clickers (e.g., GS Auto Clicker, Free Mouse Clicker, AutoHotkey scripts) and open-source projects on GitHub. Contrast with OP Auto Clicker: aims for clearer codebase, better cross-platform support, and test coverage.
- Requirements
- Functional:
- Start/stop via hotkey and GUI button.
- Click types: left, right, middle, double-click.
- Click modes: fixed interval, random interval (min/max), burst mode, click-and-hold.
- Click location: current cursor, fixed coordinates, pattern (rectangle, circle), relative to window.
- Save/load profiles.
- Safety: maximum clicks per session, emergency stop key, require user confirmation before enabling.
- Nonfunctional:
- Cross-platform: Windows, macOS, Linux.
- Low CPU/memory.
- Accessibility: keyboard-navigable UI.
- Code quality: tests, docs, CI, permissive OSS license (MIT/Apache-2.0).
- Design and Architecture
- High-level components:
- UI layer: Electron + React (or native Qt/GTK) for cross-platform GUI.
- Input engine: native bindings for low-level mouse events (e.g., node-ffi, robotjs, pynput, or libuiohook).
- Scheduler: high-resolution timer to schedule clicks (use multimedia timers on Windows, timerfd or nanosleep on Linux, mach absolute time on macOS).
- Config & persistence: JSON profiles stored in user config directory.
- Safety & permissions: require accessibility/input permissions on macOS; detect elevated privilege requirements.
- Data flow diagram and module responsibilities.
- Implementation
- Repository layout (example):
- /src
- /ui (React/Electron or Qt)
- /engine (click scheduler)
- /bindings (platform-specific)
- /ipc (ui <> engine)
- /tests
- /docs
- package.json / setup.py
- /src
- Language choices:
- Option A: Electron + Node.js using libuiohook for global hotkeys and robotjs for clicks. Pros: fast dev, cross-platform UI. Cons: large bundle size.
- Option B: Python with PyQt5 + pynput. Pros: smaller, easier to script. Cons: packaging across platforms harder.
- Option C: Rust with Tauri + native bindings. Pros: small, performant, safe.
- Example core scheduler (pseudocode):
start_session(profile): session.clicks = 0 while session.running and not reached_max_clicks: wait(next_interval(profile)) if not session.running: break execute_click(profile.click_type, profile.location) session.clicks += 1 - Hotkey handling and GUI interaction examples.
- Packaging: Electron-builder, PyInstaller, or cargo + tauri bundling.
- Cross-platform specifics
- Windows: use SendInput or SetCursorPos + mouse_event; high-resolution timers via timeBeginPeriod.
- macOS: use Quartz Event Services; request Accessibility permission via AppleScript prompt.
- Linux: X11 (XTest) and Wayland (protocol support limited — suggest using wlroots-based helper or require XWayland fallback). Document limitations under Wayland.
- Security, Safety, and Ethical Use
- Explain potential misuse (cheating, automated fraud). Recommend adding explicit terms, user warnings, and rate limits.
- Avoid embedding credentials; do not include telemetry.
- Code signing recommendations for installers.
- Testing and Evaluation
- Unit tests: scheduler logic, profile management.
- Integration tests: mock input engine to verify timing and counts.
- Performance measurements: CPU and timing accuracy across platforms; provide measured jitter and average interval error for sample intervals (e.g., 10ms, 50ms, 100ms).
- Usability: keyboard-first UI tests and accessibility checks.
- Documentation and Contribution Guide
- README template: features, install, usage, permissions, safety notice, license.
- Contributing: coding standards, tests, issue templates, PR template, code of conduct.
- Roadmap: Wayland support, scripting API, plugin architecture.
- Example: Minimal Prototype (Python + PyQt + pynput)
- Provide complete source files for a working minimal app:
main.py
import sys, json, time, threading
from PyQt5 import QtWidgets, QtCore
from pynput.mouse import Controller, Button
from pynput import keyboard
MOUSE = Controller()
class ClickerThread(threading.Thread):
def __init__(self, interval, button, stop_event):
super().__init__(daemon=True)
self.interval = interval
self.button = button
self.stop_event = stop_event
def run(self):
while not self.stop_event.is_set():
MOUSE.click(self.button)
time.sleep(self.interval)
class MainWindow(QtWidgets.QWidget):
def __init__(self):
super().__init__()
self.setWindowTitle('OP Auto Clicker - Prototype')
self.interval_input = QtWidgets.QDoubleSpinBox(value=0.1, minimum=0.001, maximum=10.0, singleStep=0.01)
self.start_btn = QtWidgets.QPushButton('Start')
self.stop_event = threading.Event()
self.thread = None
layout = QtWidgets.QVBoxLayout()
layout.addWidget(QtWidgets.QLabel('Interval (s):'))
layout.addWidget(self.interval_input)
layout.addWidget(self.start_btn)
self.setLayout(layout)
self.start_btn.clicked.connect(self.toggle)
self.show()
self.hotkey_listener = keyboard.GlobalHotKeys('<ctrl>+<alt>+h': self.toggle)
self.hotkey_listener.start()
def toggle(self):
if self.thread and self.thread.is_alive():
self.stop_event.set()
self.thread.join()
self.thread = None
self.stop_event.clear()
self.start_btn.setText('Start')
else:
interval = float(self.interval_input.value())
self.stop_event.clear()
self.thread = ClickerThread(interval, Button.left, self.stop_event)
self.thread.start()
self.start_btn.setText('Stop')
if __name__ == "__main__":
app = QtWidgets.QApplication(sys.argv)
w = MainWindow()
sys.exit(app.exec_())
requirements.txt
PyQt5
pynput
Build/run instructions:
- pip install -r requirements.txt
- python main.py
- Licensing
- Recommend MIT or Apache-2.0. Include SPDX identifier and contributor sign-off guidance.
- Release and CI
- CI: GitHub Actions for linting, tests, and packaging.
- Release checklist: code signed installer, changelog, assets, and tagged release.
- Conclusion
- OP Auto Clicker as a practical, open-source tool when built with attention to safety, cross-platform trade-offs, and clear documentation.
References
- List of APIs and libraries: pynput, libuiohook, robotjs, SendInput, Quartz Event Services, XTest, Wayland protocols, Electron, Tauri.
Appendices A. Full test matrix and timing results (example data) B. Example CONTRIBUTING.md contents C. Example ISSUE_TEMPLATE.md and PULL_REQUEST_TEMPLATE.md
— End of paper
If you want, I can:
- Expand any section into a full written chapter (e.g., full Implementation with complete source for an Electron or Rust/Tauri version), or
- Generate a ready-to-publish README + LICENSE + CI workflow files for a GitHub repo. Which would you like?
3. Transparency
On GitHub, you can see the code (if open source) or read the comments to confirm the file is safe. You can also check the "Issues" tab to see if other users reported bugs or false-positive virus detections. op auto clicker github full
1. OP Auto Clicker 3.0 – Official Source
- Repo:
AutoClicker/OPAutoClicker - Language: C# (.NET Windows Forms)
- Features: Record/playback, multi-target clicking, hotkeys.
- Full source: Includes
.slnsolution file ready to compile in Visual Studio.
Summary Checklist
- Download from the official GitHub Repository (check for high star count).
- Set your Click Interval (start slow, then speed up).
- Set Click Type (Left vs Right).
- Set Position (Current vs Fixed Location).
- Set your Hotkey (e.g., F6).
- Press the Hotkey to activate.
Here’s a feature list you can put together for an OP Auto Clicker (open-source version found on GitHub). This assumes a typical powerful auto clicker with advanced functionality.
Step 3: Check the README
A good developer will describe exactly what the program does. If the README is empty or written in broken English with aggressive advertising, avoid it. Paper: OP Auto Clicker (GitHub) — Complete Overview,
3. Rust High-Performance Version
- Repo:
clicker-rs/op-autoclicker - Language: Rust
- Full source: Extremely low CPU usage, no UI bloat.
Legal and ethical considerations
- Many games and online services prohibit use of auto-clickers; using one can lead to bans or account penalties.
- Using auto-clickers to automate tasks on systems you do not own or without permission may violate terms of service or laws.
- Avoid using auto-clickers for fraud, manipulation, or violating platform rules.
False Positives (Low risk)
- Why it happens: Auto clickers inject synthetic input into the Windows message loop. Antivirus software (especially McAfee and Norton) flags this behavior as "Potentially Unwanted Program" (PUP).
- Fix: Add the folder to your antivirus exclusion list.