d3k
Provides d3k assistance for web application debugging.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Provides d3k assistance for web application debugging.
Provides d3k assistance for debugging web applications.
Analyze, transform, clean, and visualize structured datasets using Python REPL, pandas, numpy, and plotting libraries. Trigger with "analyze data", "process CSV", "EDA", "generate plots", "statistical summary", or when computing numerical results.
Create data pipeline and analytics architecture diagrams using PlantUML syntax with database/analytics stencil icons. Best for ETL pipelines, data lakes, real-time streaming, data warehousing, and BI dashboard design.
Collects files and runs searches to produce structured context manifests for other agents. Operates read-only without writing code or making design decisions.
Test organizational egress controls by executing various data exfiltration techniques during a red team engagement. Use this skill to simulate an adversary attempting to steal sensitive data without triggering DLP (Data Loss Prevention) or network monitoring alerts. Covers exfiltration over DNS, ICMP, HTTP/S, alternative protocols (SSH/FTP), cloud services, and physical methods.
Execute sophisticated Data Extraction and Privacy Leakage attacks explicitly against Large Language Models (LLMs) to natively force the neural network entirely into organically regurgitating exact, verbatim strings of Highly Confidential Personally Identifiable Information (PII), proprietary source code, or copyrighted material categorically memorized intrinsically during its foundational pre-tr…
Серверное состояние на TanStack Query (React Query) поверх реального API бэкенда. Источник истины — OpenAPI-спека бэка (Fastify/NestJS/Express и др.): типы генерируются из спеки (openapi-typescript), запросы идут типобезопасным openapi-fetch. Ключи, кэш, инвалидация, мутации, оптимистичные обновления, RSC/Server Actions. Моков в прод-пути нет. Use при загрузке/мутации серверных данных во фронтенде.
Data pipeline design, ETL processes, Spring Integration patterns, batch processing for political data
Simulate supply chain and adversarial machine learning attacks by injecting poisoned data or targeted backdoors into training and fine-tuning datasets. Use this skill when assessing the integrity controls of MLOps pipelines or evaluating the resilience of AI models against highly targeted, stealthy manipulation intended to alter model behavior on specific triggers.
Data classification (CIA triad), GDPR privacy by design, encryption standards, data lifecycle management
Designs checks for freshness, completeness, uniqueness, validity, consistency, and distribution drift at appropriate pipeline stages. Specifies severity, ownership, failure actions, dataset quality SLAs, and incident routing. Produces monitor and quarantine policy designs; dashboard and alert wiring are outside its scope.
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