Skill UI

Stable Baselines3 is a robust, PyTorch-based library providing production-ready implementations of core reinforcement learning algorithms (PPO, SAC, DQN, etc.). It facilitates the training of single-agent RL models, supports the creation of custom Gymnasium environments, and handles advanced parallel training via vectorized environments. It is ideal for rapid prototyping and rigorous RL experiments.

SciPy provides open-source algorithms and utilities for scientific computing, including integration, optimization, statistics, and signal processing, enabling researchers and engineers to build reliable numerical applications.

Provides an X/Twitter-focused growth engine that audits profiles, researches competitors, engineers viral tweets and threads, and decodes algorithm signals so creators can plan posting strategies and maximize engagement.

This skill analyzes DNS query logs to detect sophisticated threats such as data exfiltration via DNS tunneling, Domain Generation Algorithm (DGA) usage, and covert Command and Control (C2) channels. It utilizes advanced techniques like entropy analysis, query volume anomaly detection, and subdomain length analysis within SIEM platforms, helping SOC teams identify threats that bypass traditional network security controls.

A comprehensive guide for analyzing PCAP files captured during malware execution. It demonstrates advanced techniques using Wireshark, Zeek, Suricata, and Python (scapy) to identify Command and Control (C2) communications, data exfiltration channels, Domain Generation Algorithms (DGA), and periodic beaconing patterns. Essential for malware reverse engineering and network threat detection.

This skill analyzes the cryptographic algorithms, key management systems, and file encryption routines employed by various ransomware families. It covers hybrid schemes like AES-RSA and modern ciphers such as ChaCha20. Use this when assessing data recovery feasibility, reverse engineering ransomware binaries, identifying implementation weaknesses (e.g., IV reuse, key derivation flaws), or developing custom decryptor tools.

This skill demonstrates how to exploit vulnerabilities in JWT implementations, specifically algorithm confusion. It targets APIs that fail to strictly enforce the signing algorithm, allowing attackers to downgrade signatures (e.g., RS256 to HS256) or bypass signature verification entirely (alg:none). Use this for authorized penetration testing of API security and cryptographic integrity.

This skill covers implementing robust API abuse detection using advanced rate-limiting algorithms like Token Bucket and Sliding Window. It uses Redis for distributed counting and allows for adaptive limits, dynamically tightening during detected attacks and relaxing during normal traffic. Ideal for securing APIs against DDoS, brute force, and scraping attacks.

Details how to implement robust API rate limiting and throttling using advanced techniques like Token Bucket, Sliding Window, and Fixed Window algorithms. Supports per-user, per-IP, and per-endpoint quotas, utilizing Redis for distributed counting. Essential for protecting APIs against brute force, credential stuffing, and resource exhaustion attacks, returning proper HTTP 429 responses.

This skill covers the implementation of Ed25519 digital signatures, a high-performance algorithm utilizing the Curve25519 structure. It details key pair generation, message signing, and signature verification. Ed25519 offers superior performance, determinism, and side-channel resistance compared to RSA and ECDSA. Use this skill for establishing robust authentication, ensuring data integrity, and securing system components like code or APIs.

This skill implements a simplified version of the Signal Protocol, focusing on robust end-to-end encryption (E2EE) for messaging applications. It covers critical cryptographic components including X3DH key agreement, the Double Ratchet algorithm for continuous key management, and AES-256-GCM for message encryption. The implementation ensures forward secrecy, meaning that compromising a current key does not reveal past messages. Use this when designing, building, or evaluating the security architecture of a messaging service to guarantee that only communicating parties can read the messages.

This skill provides comprehensive implementation for secure JWT (RFC 7519) signing and verification using multiple algorithms (HMAC-SHA256, RSA-PSS, ES256, EdDSA). It covers token expiration, claims validation, and crucial defenses against common attacks like algorithm confusion and 'none' algorithm bypass, essential for hardening web application authentication systems.