stride-analysis-patterns
Uses STRIDE methodology to systematically identify threats during system security analysis. Supports threat modeling sessions and security documentation.
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Find your next superpower If you are an agent, refer to our llms.txt for full access."..." for exact phrases · Try typography, debugging or spreadsheetUses STRIDE methodology to systematically identify threats during system security analysis. Supports threat modeling sessions and security documentation.
Covers retrieval-augmented generation using document loaders, RecursiveCharacterTextSplitter, and OpenAI embeddings. Includes Chroma, FAISS, and Pinecone vector stores.
Retrieves page content as LLM-optimized markdown or clean text. Handles JavaScript rendering, query-focused chunking, and batches of up to 20 URLs per call.
Provides AI-powered scraping across platforms including Instagram, TikTok, YouTube, LinkedIn, Google Maps, Reddit, Airbnb, and Yelp. Supports lead generation, competitor and brand monitoring, trend research, content and audience analytics, review analysis, SEO, and recruitment.
Build secure, scalable access control systems with authentication and authorization patterns. Covers JWT, OAuth2, session management, RBAC, API security, and debugging security issues.
Provides security guidance and vulnerability review for codebases, APIs, services, CLI tools, libraries, and daemons. Covers focused reviews and vulnerability research, with complete workflows reserved for explicit comprehensive audits, penetration tests, or report requests.
Builds LangChain agents with create_agent and custom tools. Covers middleware for human-in-the-loop interactions and error handling.
Replaces expect and similar package:matcher functions with equivalent assertions from package:checks.
Deploys and manages Cloud Run services for HTTP requests, jobs for scheduled or event-triggered tasks, and worker pools for continuous pull-based processing.
Guides end-to-end development of adapters for new sites or commands for existing sites. Covers initial reconnaissance, field decoding, adapter implementation, and verification.
Develop backtesting systems for trading algorithms and strategy validation. Address look-ahead bias, survivorship bias, and transaction costs when building backtesting infrastructure.
Covers CLI architecture, entrypoints, exit codes, stream routing, package:args, executable configuration, and subprocess spawning. Includes native CLI compilation and excludes Flutter widgets, web apps, and standalone HTTP servers.
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