Skill UI

A comprehensive tool for authorized red-team engagements, designed to map complex on-prem Active Directory and cloud Entra ID attack paths. It uses SharpHound and AzureHound to collect rich data, ingesting it into BloodHound CE for analysis using built-in queries and custom Cypher. Effectively identifies privilege escalation chains leading to domain or tenant compromise, especially in hybrid identity environments.

This skill provides methods to verify artifact signatures and SLSA provenance using tools like cosign and slsa-verifier. It is crucial for building secure CI/CD pipelines, detecting supply-chain attacks (e.g., tampering, compromised builds), and ensuring that deployed artifacts originate from trusted sources and build environments. Key features include enforcing keyless OIDC identity pinning and validating SLSA Build Levels.

This skill provides comprehensive guidance on designing complex system integrations, including event-driven architectures (EDA), webhook flows, API chaining, and robust ETL pipelines. It covers advanced patterns like Saga, Outbox, and resilience mechanisms (Idempotency, Circuit Breaker), making it ideal for connecting multiple microservices and managing asynchronous data flows.

A comprehensive utility for building reusable, command-line scripts and utilities to interact with the Hugging Face API. It enables complex data workflows by allowing users to chain, pipe, and process data fetched from models, datasets, and various endpoints. Ideal for automation, enrichment, and advanced data pipelines.

Bun is a high-performance, all-in-one JavaScript runtime and toolchain. It functions as a runtime, package manager, bundler, and test runner, offering significant speed improvements over traditional Node.js setups. It is ideal for modern, fast-paced development, new projects, and deployment environments like Vercel.

This utility ensures the prevention of silent floating-point mismatch bugs across all EVM chains. It covers runtime querying of decimals, chain-aware caching, handling precision drift in bridged tokens, and safe normalization for bots, dashboards, and DeFi tools. It is crucial for accurate cross-chain balance comparison.

Flox is a declarative, Nix-based environment manager designed to create perfectly reproducible development environments. It handles system-level dependencies (like compilers, databases, and native libraries) and ensures that complex toolchains across multiple languages (Python, Node.js, Go, etc.) function identically across macOS and Linux. Ideal for solving 'works on my machine' issues and onboarding new team members instantly.

A comprehensive guide for designing and presenting rigorous experiments and simulations for top-tier journals in Control Theory, Robotics, and Smart Systems. Covers RQ-driven design, establishing fair baselines, providing theoretical proofs of stability/convergence, performing ablation studies, and ensuring statistical significance, helping authors build an undeniable evidence chain for double-blind external review.

This guide details best practices for ensuring scientific rigor and reproducibility in complex system research. It outlines the necessity of capturing the full execution state—including hardware steppings, BIOS revisions, kernel configurations, toolchain versions, and dataset provenance—to prevent data decay and validate findings against environmental drift.

A comprehensive guide for authors developing systems papers for major conferences (like ATC). It details how to build a reproducible story by pinning all environments (hardware, OS, toolchain, workload, code), providing turnkey one-command execution paths, and preparing a runnable, anonymized artifact package for academic review and evaluation.

A comprehensive guide for authors targeting the International Symposium on Research in Attacks, Intrusions and Defenses (RAID). This skill helps authors optimize their paper's positioning, strengthen the evidence chain (focusing on operational relevance and realistic evaluation), and structure submissions to meet the rigorous standards of top-tier cybersecurity conferences, thereby maximizing acceptance chances. It covers scope alignment, contribution types, and structural best practices.

This guide helps researchers rigorously evaluate whether their operations management or supply chain research topic is suitable for the Journal of Operations Management (JOM). It employs a four-screen test to ensure the topic meets academic criteria: operations must be the core phenomenon, the study must be empirically grounded, it must advance theory, and it must maintain practical relevance for managers.