Skill UI

This library provides comprehensive patterns for building robust Clinical Decision Support Systems (CDSS) integrated into Electronic Medical Records (EMR). It ensures patient safety by implementing critical checks such as drug interaction screening, weight/age/renal-adjusted dose validation, and standardized clinical scoring (e.g., NEWS2). The engine uses pure functions, guaranteeing high testability and reliability for critical medical insights.

A comprehensive methodology for conducting deep security assessments and penetration tests against GraphQL APIs. This guide covers the entire attack lifecycle, including endpoint discovery, blind schema reconstruction, authentication/authorization bypass, SQL/NoSQL injection, Denial of Service (DoS) via depth bombs, and abusing advanced features like file uploads and subscriptions. It provides actionable steps and tool guidance for professional security researchers and ethical hackers.

This comprehensive checklist details how to test for XML External Entity (XXE) injection vulnerabilities. It covers classic, blind, error-based, and out-of-band techniques, enabling testers to identify weaknesses in XML parsers. The methodology includes finding various injection points (e.g., file uploads, SOAP/REST endpoints) and exploiting potential risks like file disclosure, SSRF, and DoS. Use this guide for robust web application security testing and bug bounty hunting.

A comprehensive guide detailing various 802.11 management frame attacks, including deauthentication and disassociation. It covers targeted single-client deauth for handshake capture, broadcast DoS attacks, and advanced action-frame exploitation to bypass PMF (802.11w). Essential for professional penetration testing and wireless vulnerability assessment.

Strategic guidance for startup CDOs and founders: audit AI training-data rights, choose warehouse/lakehouse/mesh architecture, value customer data for fundraising or M&A, and plan data hires.

This advanced skill acts as a hybrid router for complex research queries. It deterministically classifies the user's intent, delegating to specialized modules (e.g., funding grants, academic literature, patent search, company dossier) when applicable. If no specialist fits, it executes a robust fallback plan, synthesizing multi-source information into a detailed, cited briefing or document. Ideal for comprehensive investigative research across multiple domains.

This skill provides a deterministic, git-only method to verify claims made by AI agents (e.g., 'done', 'shipped', 'fixed'). Instead of trusting the agent's self-report, it audits the commit's diff and git history using the DOS kernel (`dos verify`, `dos commit-audit`) to confirm if the claimed change genuinely occurred and is backed by non-forgeable evidence. It acts as a critical quality gate.

This specialized skill guides the creation of long-form structural critical essays and detailed academic dossiers, primarily for Chinese academic contexts. It utilizes the CrossFrame methodology to first establish a foundational structure, define evidence boundaries, and identify key mechanisms, before applying a critical matrix. The output is highly structured, ensuring depth, rigorous source checking, and comprehensive critical analysis suitable for complex intellectual work.

Create magazine-style visual notes that turn a concept into a narrative dossier: problem, failed attempts, turning point, insight, and naming. Ideal for education, concept history, and storytelling layouts.

Recursively expands a seed entity (username, file, symbol, ADR, URL, or concept) across web, memory, knowledge graph, codebase, and git sources to build a provenance-tracked graph dossier with markdown and JSON artifacts.

This library provides comprehensive patterns for building robust Clinical Decision Support Systems (CDSS) integrated into Electronic Medical Records (EMR). It ensures patient safety by implementing critical checks such as drug interaction screening, weight/age/renal-adjusted dose validation, and standardized clinical scoring (e.g., NEWS2). The engine uses pure functions, guaranteeing high testability and reliability for critical medical insights.

A methodological guide for empirical economists on balancing theoretical depth with empirical findings. It advises authors on how to structure models—determining if a structural, light, or minimal theory dose is appropriate—to ensure the core contribution remains the testable estimate, rather than the theory itself.