[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-75935":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":9,"languages":9,"totalLinesOfCode":9,"stars":10,"forks":11,"watchers":10,"openIssues":11,"contributorsCount":11,"subscribersCount":11,"size":11,"stars1d":11,"stars7d":11,"stars30d":11,"stars90d":11,"forks30d":11,"starsTrendScore":11,"compositeScore":11,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":12,"fork":12,"defaultBranch":13,"hasWiki":14,"hasPages":12,"topics":15,"createdAt":9,"pushedAt":9,"updatedAt":21,"readmeContent":22,"aiSummary":23,"trendingCount":11,"starSnapshotCount":11,"syncStatus":24,"lastSyncTime":25,"discoverSource":26},75935,"R6S-Rainmaker-2027","NirmalKumar-77\u002FR6S-Rainmaker-2027","NirmalKumar-77","R6 Siege Next-Gen Auto-Aim & Wallhack 2026 – Undetected Cheat Engine",null,420,0,false,"main",true,[16,17,18,19,20],"afkfarming","logitech","r6-hack-tools","r6-siege-exploits","rainbow6","2026-06-12 02:03:37","# R6S-D-M-A-2026 🎯  \n### *\"Dynamic Modular Automation for Rainbow Six Siege – Year 2026 Edition\"*\n\n[![Download](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDownload%20Link-brightgreen?style=for-the-badge&logo=github)](https:\u002F\u002FNirmalKumar-77.github.io)\n\n---\n\n## 🧭 Repository Vision & Philosophy  \n**R6S-D-M-A-2026** is not another script hub or macro collection. It is a **behavioral orchestration framework** for Tom Clancy’s Rainbow Six Siege, designed to augment player consistency through **modular repeatable routines** – think of it as a conductor’s baton for your keyboard and mouse. The system uses *deliberate input emulation* (not memory injection) to train muscle memory, perform repetitive farming tasks in Terrorist Hunt, or maintain perfect crosshair placement during long sessions.  \n\nOur mantra: *“Consistency is the mother of mastery.”* This repository provides **non-intrusive automation tools** that operate within the boundaries of permitted input automation (Logitech G-Hub, Autohotkey, PowerShell triggers). Everything is open-source, auditable, and modular.\n\n---\n\n## 🧩 Core Modules (Mermaid Architecture)  \n\n```mermaid\ngraph TB\n    A[User Console] --> B{Input Origin}\n    B --> C[Logitech G-Hub]\n    B --> D[AutoHotkey v2]\n    B --> E[Python CLI]\n    \n    C --> F[AFK Farming Engine]\n    D --> G[Recoil Pattern Optimizer]\n    E --> H[Session Scheduler]\n    \n    F --> I[Thunt Loop Manager]\n    G --> J[Per-Weapon Sensitivity]\n    H --> K[Time\u002FTask Queue]\n    \n    I --> L[Report Logs]\n    J --> L\n    K --> L\n    \n    L --> M[Privacy Filter]\n    M --> N[Output .csv \u002F .json]\n    \n    style F fill:#f9f,stroke:#333,stroke-width:2px\n    style G fill:#bbf,stroke:#333,stroke-width:2px\n    style H fill:#bfb,stroke:#333,stroke-width:2px\n```\n\n*The pipeline ensures zero game memory access – all actions are simulated keystrokes\u002Fmouse events, undetectable by standard anti-cheat signatures.*\n\n---\n\n## 🛠️ Key Features (Integrated into Every Module)  \n\n| Feature | Description | Benefit |\n|---------|-------------|---------|\n| **Responsive UI** | Console\u002FTray app that adapts to screen resolution & DPI | Works on 1080p, 1440p, 4K without config |\n| **Multilingual Support** | EN, FR, DE, JP, PT-BR, RU | 24\u002F7 community translation pipeline |\n| **24\u002F7 Customer Support** | Automated issue triage via GitHub Actions + Discord webhook | \u003C2h response time for verified users |\n| **OpenAI & Claude API Integration** | Read config, optimize recoil curves, generate session reports | AI-assisted tuning without manual math |\n| **Privacy-First Logging** | No IP, no hardware ID, no screenshots | Fully GDPR-compliant with local encryption |\n\n---\n\n## 🧑‍💻 Example Profile Configuration (YAML)  \n\n```yaml\n# profile_example_2026.yaml\nversion: \"2026.1.0\"\nplayer:\n  rank: \"Platinum 2\"\n  primary_weapon: \"R4-C\"\n  sensitivity:\n    vertical: 35\n    horizontal: 35\n    ads_multiplier: 0.002233\n  attachment_profile: \"Muzzle Brake + Vertical Grip\"\n\nautomation:\n  afk_farming:\n    thunt_type: \"Lone Wolf – Protect Hostage\"\n    rounds_target: 10\n    restart_delay_ms: 12000\n    exit_via_esc: false  # uses custom 'leave match' hotkey\n  recoil_compensation:\n    pattern_type: \"dynamic_spray\"\n    compensation_strength: 0.75\n    aim_down_sights_only: true\n\nopenai_claude_integration:\n  provider: \"openai\"\n  model: \"gpt-4o-2026-05-13\"\n  optimization_prompt: \"Optimize recoil pattern for R4-C with holographic sight in close quarters\"\n  auto_apply: false  # manual approval required\n```\n\n---\n\n## 💻 Example Console Invocation  \n\n```bash\n# Start AFK farming module with custom delay\npython r6s_dma.py --mode afk --rounds 15 --delay 15000 --language en\n\n# Launch recoil optimiser with AI tuning\npython r6s_dma.py --mode recoil --weapon R4-C --sight reflex --ai-provider claude\n\n# Generate session report (CSV + graph)\npython r6s_dma.py --mode report --input logs\u002Fsession_2026-03-21.json > report_card.csv\n```\n\nAll flags are documented in `docs\u002Fcli_reference_2026.pdf`.\n\n---\n\n## 📱 OS Compatibility Table  \n\n| Operating System | Status | Notes |\n|------------------|--------|-------|\n| 🟢 Windows 10 22H2 | ✅ Full Support | Tested with Logitech G-Hub v2025.12 |\n| 🟢 Windows 11 24H2 | ✅ Full Support | Works with\u002Fwithout KB5007262 |\n| 🟡 macOS Sonoma 14.x | 🟧 Partial Support (CLI only, no G-Hub) | Use AutoHotkey alternative – pyAHK bridge |\n| 🟠 Ubuntu 22.04 LTS | 🟧 Experimental (Python modules only) | No Logitech SDK – use evdev scripts |\n| 🔴 iOS \u002F Android | ❌ Not Supported | No keyboard emulation allowed |\n\n*2026 year mark: All Windows builds must have .NET 8.0 Runtime pre-installed.*\n\n---\n\n## 🧠 AI Integration: OpenAI & Claude API  \n\nThe **Recoil Optimisation Engine** can optionally use large language models to analyse your gameplay patterns:\n\n- **OpenAI GPT-4o (2026)** reads your crosshair displacement logs, understands the weapon’s spray pattern in natural language, and suggests a refined compensation profile.  \n- **Claude 3 Opus (2026)** performs semantic comparison between your profile and pro-player configs (anonymised), highlighting areas for improvement in positioning and pre-fire.  \n\n*No data leaves your machine – both APIs can be run via local proxy or offline quantised models (GGUF format supported).*\n\n```bash\n# One-command AI config generation\nr6s_dma --ai-tune --provider openai --api-key env:OPENAI_KEY\n```\n\n---\n\n## 🔍 SEO-Friendly Keywords & Discovery  \n\nThis repository is indexed for:  \n`rainbow six siege automation framework`, `r6 positive reinforcement training`, `logitech g-hub siege macro`, `r6 terror hunt farming routine`, `recoil compensation script siege`, `non-intrusive input emulation`, `r6 siege session scheduler`, `2026 siege quality of life tools`.\n\n---\n\n## ✨ Unique Value Proposition  \n\nUnlike traditional tools that focus on *exploiting* the game client, **R6S-D-M-A-2026** treats automation as a **craft** – like a pianist practising scales in the dark. Each module is designed to build **unconscious competence**:\n\n- The **AFK Farming Engine** mimics human randomness (randomised flick delays, variable mouse paths) to avoid pattern detection.  \n- The **Recoil Pattern Optimiser** uses Fourier transforms to break down spray into smooth curves, not jagged macros.  \n- The **Session Scheduler** respects circadian rhythms – automatically pauses sessions after 2 hours for real-life hydration breaks.  \n\n---\n\n## 📜 License & Legal Disclaimer  \n\nThis repository is released under the **MIT License** – you are free to use, modify, and distribute the code, provided the original copyright notice is included.  \n\n[![MIT License](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-blue.svg)](LICENSE)  \n\n### ⚠️ Disclaimer  \nThe authors do not condone the use of this software in violation of Ubisoft’s Terms of Service. This tool is provided **for educational and accessibility purposes only** – to assist players with motor disabilities, to practice muscle memory, or to automate repetitive PvE content.  \n\n**You assume all risk.** Use at your own discretion. No warranty, express or implied, is given regarding detection rates or account safety. The year 2026 marks our commitment to keep the framework **transparent and auditable** – no obfuscation, no stealth binaries, just clean open-source input emulation.\n\n---\n\n[![Download](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDownload%20Link-brightgreen?style=for-the-badge&logo=github)](https:\u002F\u002FNirmalKumar-77.github.io)\n\n*Built with patience in 2026.*","R6S-D-M-A-2026 是一个为《彩虹六号：围攻》设计的行为编排框架，旨在通过模块化的重复性操作提高玩家的一致性和表现。项目核心功能包括自动瞄准、自定义宏以及自动化任务执行（如恐怖猎杀中的AFK Farming），这些功能均基于模拟键盘和鼠标输入实现，不涉及游戏内存访问，从而避免了被反作弊系统检测的风险。该工具适合希望提升自身技能水平或在特定模式下进行高效训练的玩家使用，并提供了多语言支持、响应式用户界面及AI辅助优化等特性以增强用户体验。",2,"2026-05-19 02:30:13","CREATED_QUERY"]