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Hacking & Coding VideoInfo AI Prompts 미리보기

Hacking & Coding VideoInfo AI Prompts 제작자: Libor Benes (Dr. B)

Instant copy-ready AI system prompts for dense technical video analysis. Deconstruct hacking methodologies and source code architectures using secure, structured offline templates. • Security-First. No telemetry. No data collection.

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🏛 About Hacking & Coding VideoInfo AI Prompts:
Hacking & Coding VideoInfo AI Prompts surfaces a curated, static suite of advanced AI optimization prompts in a dedicated sidebar. It allows you to instantly equip large language models (like Google Gemini, Claude, or ChatGPT) with structural frameworks that force them to cleanly deconstruct long bug bounty presentations, hacking talks, or development courses without wasting time or battery in resource-constrained environments.

📐 Desktop Sidebar Design:
✨ Neon Cyberpunk Aesthetic: Features high-contrast cyan titles, blue hacking controls, green coding actions, and hot-pink error notifications set against a deep terminal backdrop (#0f111a) for easy low-light scanning.
🎯 Twin Target Modalities: Large, dedicated action layouts instantly separating strategic security talks from line-by-line coding walkthroughs.
📋 One-Click Instant Execution: Clicking any button copies massive multi-line system instructions directly to your OS clipboard while launching a glowing verification notification.

⚙ How It Works — Nothing Sent Anywhere:
• Hacking & Coding VideoInfo AI Prompts' entire technical prompt inventory is bundled as static, hand-authored data inside the extension; nothing is fetched or looked up externally.
• It operates entirely client-side without reading active web tabs or accessing external endpoints.
• Every button, heading, and status message is built with safe, text-only DOM methods—nothing is ever inserted using risky string parsing architectures.
• The only privileged action is writing an optimized template string to your clipboard when you click an action target.

📚 Prompt Coverage:
Instead of generic video summaries, the built-in reference triggers granular breakdowns across two critical categories:
• Hacking & Methodology Filter: Forces the AI model to output an Executive Summary, Mindset/Strategy Shifts, a Step-by-Step Methodology matrix (Goal, Action, Target), a Complete Technical Tool Tracker table, and Crucial Edge Cases/Pitfalls.
• Coding & Script Dev Filter: Forces the AI model to output system Architecture & Design breakdowns, Program Logic/Execution Flows, a Dependencies/APIs/Tools tracking table, Key Code Snippets/Logic Patterns (Pseudocode), and Security Considerations.

📊 What You See:
📇 Neon Title Bar: Clearly flags your active technical prompt factory.
🔧 Action Buttons: Deep blue and emerald green structural blocks providing immediate visual clarity between hacking concepts and software design paths.
📋 Glow-Bordered Status Tray: A dynamic feedback block appearing in neon green (on success) or hot-pink (on error) to confirm clipboard readiness.

🖥 Features:
🎨 Neon Color Coding — Green coding nodes, blue hunting headers, and cyan typography ensure high-contrast readability even when screen brightness is heavily dimmed.
📋 One-Touch Copy — Packages complex multi-paragraph prompt frameworks into your system clipboard in a fraction of a second.
🪶 Zero Network Footprint — The extension operates completely offline and never initiates a background network callback loop.

🎯 Perfect for:
• Bug Bounty Hunters & Pentesters tracking technical workflow shifts from streams like DEF CON, Black Hat, or security walk-throughs.
• Exploit Developers & App Sec Engineers extracting architecture patterns, regular expressions, and dependency trees from step-by-step coding courses.
• Traveling Professionals working with limited battery or poor connectivity who need to review video intelligence rapidly without watching full timelines.

🔒 Security-First Architecture:
✅ No Data Collection — Formally and explicitly declared natively within manifest.json.
✅ No Telemetry — No analytics tracking, no user profiling, and no third-party request pipelines.
✅ No eval() or innerHTML — Strictly utilizes text-only DOM mutation routines throughout the entire application layer.
✅ No Persistent Storage — Writes nothing to local disk caches or configuration profiles; nothing survives beyond the active session.
✅ No Outbound Network Access — No host permissions are requested, completely eliminating network attack surfaces.
✅ Permissions Matched to Function — Relies strictly on clipboardWrite to pass structural text objects to the OS, alongside basic window context boundaries.

🛠 Technical Details:
• Compatibility: Firefox 140.0+ Desktop only.
• Runtime Execution RAM Footprint: ~8 KB (core scripts: manifest.json + sidebar.html + sidebar.js).
• Total Extension Download/Install Size: ~26 KB (including README.md).
• Compressed Folder (.zip): ~11 KB.
• Network requests: Absolute zero.
• Storage Profiles: None. No browser storage APIs are triggered.
• Data Collection: None (explicitly declared).

⚠ Limitations:
📚 Template Driven — Does not parse video audio arrays or scrape automated transcript data natively; acts strictly as an offline prompt optimization launcher.
🖥 Desktop Only — Firefox sidebars are structurally omitted on Android mobile browser variants.
🧠 LLM Dependent — Relies on the user manually pasting the final clipboard data string into an external AI engine (like Google Gemini AI) capable of processing video file paths or transcript logs.

⚠ Legal Disclaimer:
Hacking & Coding VideoInfo AI Prompts is an independent browser utility developed for informational and workflow reference purposes. It is not affiliated with, endorsed by, sponsored by, or in any way officially connected to Google LLC, Gemini AI, OpenAI, Anthropic, Mozilla Corporation, YouTube, or any security conference or organization mentioned inside the application templates.
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