Skill UI

This workflow router is designed for academic researchers targeting top-tier strategy journals. It does not write the paper but acts as a systematic guide, analyzing the current state of your manuscript—from vague ideas to final submission—and recommending the precise next specialized skill needed. It ensures that the paper is systematically improved across theory development, methodological rigor, data analysis, and contribution framing, guiding the author through the entire publication lifecycle.

A comprehensive guide for authors targeting The Astrophysical Journal (ApJ) or its Letters companion (ApJL). It helps determine manuscript fit, ensures methodological rigor, and outlines house style requirements, covering everything from data availability and systematic uncertainty analysis to article length limitations. This tool assists in structuring high-quality, archival-grade astrophysics research papers.

A comprehensive guide for positioning computer science manuscripts for top-tier security conferences like USENIX Security. It covers core topics (systems, network, privacy, software security), required evidence (rigorous artifact, measurement, vulnerability analysis), and strategic advice on framing the work to meet adversarial reviewer expectations. Ideal for authors preparing high-stakes academic submissions.

NetworkX is a powerful Python package designed for creating, manipulating, and analyzing complex networks and graphs. It supports various graph types (Directed, Undirected, MultiGraphs) and provides extensive functionality for graph algorithms, including shortest path calculation, centrality measures (like PageRank), community detection, and connectivity checks. Users can generate synthetic networks, read/write data from multiple formats (GraphML, CSV, Pandas), and visualize results using Matplotlib. Ideal for social network analysis, biological research, and system modeling.

A specialized downstream skill for CTF-sandbox workflows. Used to analyze complex security challenges driven by AI agent interactions, prompt injection, or infrastructure vulnerabilities. Focuses on tracing control chains involving untrusted input, tool side effects, deployment drift, container runtime issues, and CI/CD supply chain provenance. Ideal for rigorous vulnerability assessment in modern, distributed systems.

A specialized skill for advanced runtime analysis of Android applications, primarily used in CTF and security research. It covers techniques like hooking specific system boundaries (JNI, WebView), bypassing security measures (SSL pinning, root checks), and recovering sensitive data or request signatures. Ideal for deep inspection of app trust boundaries and complex mobile logic.

A specialized downstream skill for complex CTF challenges, focusing on cryptographic analysis, steganography, and mobile system forensics. It guides the user through recovering complex data chains, such as decoding blobs, tracing cryptographic transforms (keys, IVs, nonces), inspecting hidden media payloads, and analyzing mobile trust boundaries (e.g., APK/IPA signing logic, local storage, SSL pinning). This skill is designed to be used only after a main sandbox orchestrator has established the operational context.

This specialized skill traces the complete lifecycle of an uploaded or imported file through complex backend systems. It maps the sequence from ingress to final consumer, tracking every derived artifact, archive extraction, format conversion, parser invocation, and deserialization step. It is crucial for security analysis, vulnerability research, and understanding how a file reaches a decisive backend effect after initial sandbox assumptions are made.

A specialized downstream skill for analyzing security vulnerabilities in complex agentic systems. This tool is designed for red teaming and penetration testing, focusing on detecting prompt injection, retrieval poisoning, memory contamination, planner drift, and tool boundary abuse within multi-step LLM chains. Use when proving how untrusted inputs compromise system integrity.

This specialized downstream skill is designed for deep analysis of complex attack paths originating from Server-Side Request Forgery (SSRF). It systematically tracks the entire exploitation chain: from the initial SSRF source (e.g., webhook, URL parameter) through internal service reachability, metadata endpoint exploitation, credential extraction, and finally, demonstrating how an attacker achieves accepted access or elevated privileges. Use this when tracing the decisive path through server-side requests and credential pivoting.

This specialized skill analyzes the complete lifecycle of real-time web communications, including WebSocket and Server-Sent Events (SSE). It is designed to map the initial handshake, decode complex message streams (subscriptions, keepalives, pushes, reconnects), and trace how frame activity leads to persistent or rendered state changes. Use this to isolate the minimal, decisive sequence of events that prove a system's behavior.

This is the master workflow and default entrypoint for complex CTF, exploit, and digital forensics challenges. It establishes a 'sandbox model,' treating presented targets as internal and guiding the user through a systematic investigation process. The orchestrator maps the entry surface, proves minimal attack paths, and intelligently routes the investigation to the most relevant specialized domain (e.g., pwn, crypto, cloud, AD) while maintaining a cohesive analysis flow.