Skill UI

This specialized skill is designed to trace and prove the complete flow of OAuth or OIDC authentication, acting as a downstream specialization after an orchestrator has established sandbox assumptions. It meticulously tracks the entire journey—from initial redirect and parameter handling (state, nonce, PKCE) through token exchange, claim mapping, and ultimately to the point where an identity or privilege is accepted by the backend service. Use this when the critical task is proving the security and mechanics of the authentication chain.

This skill is designed for deep forensic analysis of asynchronous processing chains, specifically focusing on 'drift'—behavioral or configuration differences between a synchronous request path and subsequent worker-executed tasks. Use it to trace payloads, inspect worker-only state, follow retry mechanisms, handle dead-letter queues, or connect enqueued items to eventual side effects (e.g., file writes, cache updates, emails). It is a specialized downstream tool, requiring prior orchestration context.

This specialized skill is designed to analyze complex security flaws involving forced authentication (coercion) and identity relay chains. It guides users to trace and document the complete, minimal path from the initial coercion trigger (e.g., a specific service or protocol edge) through intermediate hops, to the final service that accepts the relayed credentials. Use this for deep security research, forensics, and documenting the decisive sequence leading to privilege escalation or code execution.

This advanced skill is designed for security research and CTF environments to trace subtle divergences in request handling across multiple network hops (proxies, gateways, backend servers). It focuses on identifying vulnerabilities stemming from differential interpretation of headers, path normalization, transfer framing (CL/TE), and host derivation, crucial for detecting request smuggling and parsing inconsistencies.

This specialized skill is used to trace complex network requests through multi-layered infrastructure, such as reverse proxies, container boundaries, and various header manipulations. It is essential for determining which specific node, proxy rule, or derived header ultimately serves a live request within a sandboxed environment. Use it when analyzing VHost routing, path rewrites, or X-Forwarded headers to pinpoint the decisive backend.

A specialized downstream skill for deep analysis of complex web rendering pipelines. Use this to trace vulnerabilities or logical flaws residing in Server-Side Rendering (SSR), template data, route loaders, or client-server hydration boundaries. It compares template-level gating against backend handler enforcement to pinpoint the decisive weak point in the render chain.

A specialized, downstream skill designed for forensic analysis within a confined sandbox environment, particularly for CTF challenges. It guides the user to inspect the full stack behavior, including API interactions, server routing, browser state (cookies, local storage), and asynchronous worker processes. Use this skill to trace complex, end-to-end request flows, debug authentication/session leaks, or diagnose discrepancies between frontend UI and backend enforcement.

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 skill implements a comprehensive logging guard to prevent Protected Health Information (PHI) leakage into logs, traces, and error reports. It acts as a pre-emission filter, redacting structured identifiers (SSN, email, phone) via regex and handling free-text PHI using advanced models. Essential for maintaining strict data privacy and compliance when shipping logs to centralized stores or error trackers.

Read-only review of Caveman Cloud evidence covering cost, Cave Score, workflows, traces, latency, errors, routing, and savings. Use when asked what Caveman found or where LLM spend goes. Conclusions are based on current data and cite trace IDs.

This skill audits a complete security or forensics case package to ensure its readiness for formal report handoff. It verifies scope metadata, evidence record integrity, traceability between Findings, Paths, and Evidence, and checks artifact hash consistency. It is a non-destructive, read-only review process designed to validate the defensibility and completeness of the investigation before documentation.

JurisRank is a computational tool that analyzes citation networks of Argentine Supreme Court (CSJN) jurisprudence using a peer-reviewed PageRank algorithm with temporal decay. It measures the jurisprudential authority of legal precedents, allowing users to rank competing cases by influence, trace the evolution of legal doctrine, and detect potential constitutional drift. Ideal for intensive legal research, due diligence, and academic analysis of legal trends in Argentina.