Browse published AI skills maintained by RazonIn4K. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
9Repository stars across indexed skills
9Repository forks
0Average repository stars per indexed skill
1Repository stars may repeat across skills from the same repository.
Guide AI assistants through Gray Swan MITM challenges using Playwright browser automation to interact with AI agent intermediaries. Use when working on Gray Swan Machine-in-the-Middle CTF challenges.
Orchestrate workflows across multiple AI models (Perplexity, GPT, Grok, Claude, Gemini) for comprehensive security research, competition execution, and strategic analysis using GUI interfaces or API automation
Complete guide for Gray Swan MITM challenges across all waves. Includes AI agent profiling, defense bypass strategies, domain-specific handling, and platform troubleshooting. Use for ANY Gray Swan MITM challeng...
Execute Indirect Prompt Injection attacks for Gray Swan AI Arena Wave 2 with pre-built payloads, model profiling, and evidence collection automation
Execute Gray Swan Wave 3 MITM challenges across 10 challenges and 90 AI models using Playwright automation, tiered execution strategy, and compliance framing. Use for Wave 3 healthcare, critical infrastructure,...
Updated Wave 3 MITM execution skill incorporating Nov 18 platform stability discoveries, domain-specific AI defenses, and WordPress container isolation. Use for Wave 3 challenges with realistic success rates an...
Execute AI security CTF challenges across any competition platform with adaptable workflows for indirect prompt injection, jailbreaks, agent exploitation, and evidence collection with research-grounded techniqu...
Execute Gray Swan AI Arena indirect prompt injection (IPI) and machine-in-the-middle (MITM) challenges with optimized payloads, reconnaissance workflows, and evidence collection for CTF competition success
Generate optimized indirect prompt injection, H-CoT, and multi-layer attack payloads for AI security testing and CTF competitions with automated family selection and success rate optimization
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.