ai-governance
Covers AI governance, EU AI Act compliance, and OWASP LLM security. Addresses responsible AI practices for GitHub Copilot agents.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Covers AI governance, EU AI Act compliance, and OWASP LLM security. Addresses responsible AI practices for GitHub Copilot agents.
Bypass AI safety filters by encoding malicious prompts using ciphers and obfuscation techniques (e.g., Base64, ROT13, Leetspeak, Morse code). This skill exploits the gap where the LLM can decode the request, but intermediate keyword-based safety classifiers cannot.
Execute sophisticated Prompt Injection and Jailbreak techniques against Large Language Models (LLMs) to bypass safety filters, extract system prompts, and manipulate the AI's output to perform malicious or disallowed actions.
Advanced techniques for bypassing LLM safety filters, instruction tuning, and system prompt restrictions using specialized linguistic constructs, hypothetical scenarios, and persona adoption.
Reformat one reply into terse, high-density output: answer first, bullets/tables, no preamble or niceties, end with a TL;DR. Trigger on "/ai-mansplain", "give it to me straight", "no fluff", "bullet it", "tl;dr this", or any signal the user wants signal over rapport. Skip when they want exploration, emotional support, or teaching.
Configure Claude as a "Pair Hunter" — autonomous overnight hacking, context management via per-target .claudemd files, sub-agent compaction avoidance, and scope enforcement. Based on Critical Thinking Bug Bounty Podcast Episode 166.
Write operator-facing and public documentation plans for AI-Controlled Party mixer/Soundcraft Ui24R scene arming. Use for runbooks, rehearsal checklists, show-day checklists, EN/PT docs updates, demo scripts, safety wording, and follow-up documentation revisions.
Covers LLM integration patterns, RAG architecture, and prompt engineering for AI products. Also addresses user experience and cost optimization for production use.
Systematically extract hidden system prompts, core directives, and invisible context intentionally concealed within Large Language Model (LLM) applications. This skill utilizes targeted linguistic engineering and boundary manipulation to bypass prompt opacity.
Prevent common AI report pitfalls — bug blending, inflated threat models, and generic language. Train Claude with your best past reports for concise, technical submissions. Based on Critical Thinking Bug Bounty Podcast Episode 166.
Analyze and execute AI PR review feedback with fix/skip decisions. Use when a user asks to parse an AI review, apply selected fixes, and finalize review processing for GitHub or Azure DevOps pull requests. Detects the review source — for a GitHub Copilot agent review it replies to and resolves each linked review thread; otherwise it appends AI review notes to the PR description.
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4…
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