GitHub
gray-swan-mitm-interaction
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.
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RazonIn4K AI Skills
GitHub ↗浏览 RazonIn4K 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
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1同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
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GitHub
multi-model-orchestration
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
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GitHub
gray-swan-mitm-general
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...
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GitHub
gray-swan-ipi-wave-2-executor
Execute Indirect Prompt Injection attacks for Gray Swan AI Arena Wave 2 with pre-built payloads, model profiling, and evidence collection automation
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GitHub
gray-swan-wave3-mitm
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,...
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GitHub
gray-swan-wave3-mitm-updated
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...
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GitHub
ai-ctf-generic
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...
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GitHub
gray-swan-competition
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
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GitHub
payload-generator
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
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。