Automated All-in-One OS Command Injection Exploitation Tool

:movie_camera: Python and OpenCV-based scene cut/transition detection program & library.

Autonomous penetration testing using a swarm of AI agents. Orchestrates recon, classification, exploitation, and reporting specialists with ReAct reasoning — supports bug bounty, continuous monitoring, and CTF modes. Built with Go, Claude API, and 7+ native security tools.

Extract one time password (OTP) secrets from QR codes exported by two-factor authentication (2FA) apps such as "Google Authenticator". The exported QR codes from authentication apps can be captured by camera, read from images, or read from text files. The secrets can be exported to JSON or CSV, or printed as QR codes to console.

A privacy-preserving Raspberry Pi home security camera that uses advanced end-to-end encryption.

The Prime Cross Site Request Forgery (CSRF) Audit and Exploitation Toolkit.

Modern camera app focused on privacy and security with QR & barcode scanning.

AI video skill for Claude Code & Codex — cinematic product videos with Remotion: 106 shot recipe cards, 161 motion previews, a production-ready template

Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysis with Qwen, DeepSeek, SmolVLM, LLaVA, YOLO26. LLM-powered agentic security camera agent — watches, understands, remembers & guards your home via Telegram, Discord or Slack. Pluggable AI skills. OpenAI, Google, Anthropic or local AI. Runs on Mac Mini & AI PC.

Agent skills for solving CTF challenges - web exploitation, binary pwn, crypto, reverse engineering, forensics, OSINT, and more

Two Claude Skills that turn agents into AI film directors, providing cinematic dramaturgy and exact prompt syntax for major video/image models.

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes