Skill UI

This comprehensive pipeline guides users from a vague research concept to a fully structured, testable academic proposal. It first refines the core methodology (research-refine) to establish a stable thesis, and then generates a detailed, claim-driven experiment roadmap (experiment-plan). This end-to-end workflow ensures that the final academic output is both elegant and empirically validated.

This comprehensive guide teaches advanced iOS reverse engineering techniques using Frida dynamic instrumentation. Users can analyze proprietary app logic, extract encryption keys, trace method calls, and bypass anti-tampering or anti-debugging mechanisms without needing source code. It is essential for authorized mobile security testing and protocol analysis.

Kubesec is a powerful open-source tool designed to perform comprehensive security risk analysis on Kubernetes resource manifests (YAML/JSON). It automatically detects critical misconfigurations, potential privilege escalation vectors, and deviations from industry security best practices. It provides actionable scoring and hardening recommendations, making it essential for CI/CD pipelines, security auditing, and automated compliance checks.

This skill is designed for assessing the security of Android inter-process communication (IPC) by systematically testing intents, broadcast receivers, content providers, and exported components. It helps identify critical vulnerabilities such as intent injection, unauthorized data leakage, and component hijacking, which are crucial during mobile penetration testing and security audits.

A comprehensive security script designed to test REST API authentication mechanisms for common vulnerabilities. It assesses broken token validation, missing authentication on critical endpoints, weak password policies, and session management flaws. The tool specifically evaluates JWT implementation, API key handling, and adherence to OWASP API Security Top 10, helping identify authentication bypasses before production deployment.

A comprehensive framework for testing REST and GraphQL APIs against Broken Object Level Authorization (BOLA) and Insecure Direct Object Reference (IDOR). This tool simulates an attacker's behavior by systematically intercepting and modifying object identifiers (IDs, UUIDs, slugs) within API calls. It helps identify critical authorization flaws, ensuring that an authenticated user cannot access or modify resources belonging to other tenants or users, adhering to OWASP API Security Top 10.

This tool systematically tests API endpoints for mass assignment (over-posting) vulnerabilities. It simulates an attacker injecting undocumented or privileged fields (such as 'role' or 'balance') into standard API requests. By analyzing the server's response, it determines if the API binds all client-supplied parameters to the data model without proper filtering, which could allow unauthorized privilege escalation or data modification. This is critical for achieving OWASP API Top 10 compliance.

A comprehensive guide for systematically assessing REST and GraphQL API endpoints against the OWASP API Security Top 10 risks. This includes practical workflows for testing critical vulnerabilities such as Broken Object Level Authorization (BOLA), broken authentication, excessive data exposure, and rate limiting, using tools like Burp Suite, Postman, and ffuf. Ideal for pre-deployment audits and authorized penetration testing engagements.

This comprehensive tool assesses critical security flaws in OAuth 2.0 and OpenID Connect (OIDC) implementations. It systematically tests for common vulnerabilities like authorization code interception, redirect URI manipulation, CSRF in OAuth flows, token leakage, and scope escalation. Ideal for penetration testers and security engineers evaluating the robustness of identity providers and client applications.

Automatically reverse-engineers any codebase (frontend, backend, or fullstack) into a comprehensive Product Requirements Document (PRD). It analyzes complex elements like routes, components, API integrations, state management, and business logic across major stacks (React, Vue, Next.js, Django, FastAPI). The resulting PRD is detailed enough for both product managers (understanding 'what') and engineers/AI agents (understanding 'how' to reconstruct the system).

This tool allows users to systematically evaluate and rank the outputs of multiple agents within an AgentHub session. It supports metric-based evaluation (running custom commands for measurable metrics like speed or resource usage), or an advanced LLM Judge Mode. The LLM Judge compares results based on criteria like correctness, simplicity, and overall quality, helping users determine the best-performing agent for the task.

Assistant for venture fund administrators: ingests capital calls, investments, and cash flows to compute KPIs (TVPI, DPI, IRR, MOIC), model carry/fees, and draft LP quarterly updates via Claude Code + Python.