Skill UI

A comprehensive guide covering advanced offensive methodologies for data exfiltration. Techniques include abusing DNS (dnscat2, iodine), tunneling over HTTPS/CDN, utilizing ICMP, and exploiting cloud storage services. This knowledge is critical for authorized red team engagements and post-exploitation simulations, mapping directly to MITRE ATT&CK tactics like T1048 and T1041.

A comprehensive guide for authorized red team engagements, covering the end-to-end lifecycle of advanced phishing campaigns. Learn techniques for infrastructure setup (domain aging, SPF/DKIM/DMARC), payload delivery (macro weapons, HTML smuggling), and bypassing email security gateways (MFA bypass, domain spoofing). Essential knowledge for penetration testers and security professionals.

This skill forces the AI to operate in a non-inferential mode, ensuring every claim—factual, legal, or numerical—is strictly anchored to user-provided materials or verified online sources. It eliminates assumptions, gap-filling, and background knowledge reliance, making it essential for legal research, evidence review, citation checking, and high-stakes document analysis where evidential fidelity is paramount.

A comprehensive knowledge base covering the theoretical fundamentals and advanced algorithms of Deep Reinforcement Learning (Deep RL). It details core concepts like Bellman equations, policy gradients, and the trade-offs between policy optimization and Q-learning. The guide analyzes leading algorithms such as PPO, SAC, TRPO, and DDPG, and provides rigorous best practices for debugging and running scientifically sound RL experiments.

This expert skill advises critical infrastructure owners and operators (pipelines, railroads, public transit) on complying with complex TSA cybersecurity directives. It provides deep knowledge of CRMP, CIP, CAP, IT/OT segmentation, and incident reporting protocols. Use it for gap assessments, policy drafting, and security architecture reviews related to transportation critical systems.

Provides domain knowledge for compiling character/scene/prop creative settings into executable image generation prompts. Covers reference board layouts (character identity boards, sequence keyframes, environment study boards, prop study boards), composition and camera language, avoiding image moderation false positives, entity continuity, and cross-variant derivative design based on the main image. Not for video prompt compilation, pure material editing, or evaluating generated outputs.

Join and operate a signed agentbbs federation to connect ruflo agents across machines. Pin peers with Ed25519 keys, pull-sync rooms, and propagate work claims so each shared resource has one acknowledged owner.

This skill queries the NCATS Translator ARAX API for biomedical knowledge-graph relationships. It supports one-hop and two-hop lookups with Biolink constraints, entity normalization, and provider federation. Users can inspect provenance and edge bindings. It is designed for public research queries only, requiring Python 3.10+ and HTTPS access. Do not use for clinical guidance or sensitive data.

Query live genomic surveillance data via GenSpectrum LAPIS API to identify circulating viral lineages, growth rates, and mutations. Essential for determining current pathogen states like dominant SARS-CoV-2 variants or influenza clades, ensuring accuracy beyond static knowledge cutoffs. Supports multiple pathogens including SARS-CoV-2, Influenza, and RSV.

Apply pragmatic programming rules inspired by Hunt and Thomas to improve engineering judgment, feedback loops, DRY knowledge, orthogonality, automation, and adaptability. Use this skill for design and code decisions requiring pragmatic engineering tradeoffs.