Skill UI

Allows users to resume an interrupted or paused autoresearch experiment. It automatically loads the full context, including configuration, strategy files, complete results history, and recent code changes. The system then summarizes the current best metrics and patterns, prompting the user to continue with a single iteration, set up an automated loop, or manually review the results.

This command executes the entire AgentHub lifecycle in a single, chained invocation. It automates complex development tasks by sequentially handling initialization, capturing performance baselines, spawning multiple specialized agents, evaluating the results (via metrics or LLM judging), and finally presenting a winner for merging. Use this when running an end-to-end competition or complex refactoring task.

This skill initializes a new autoresearch experiment. It guides the user through defining all necessary parameters, including the domain, target files, evaluation commands, metrics, and optimization direction. It is the essential starting point for automated optimization and performance benchmarking cycles.

A comprehensive guide to using k6 for robust performance and load testing across APIs, WebSockets, and browser scenarios. Learn to write realistic load simulations (smoke, load, stress, soak), analyze performance metrics, set SLAs, and integrate testing into CI/CD pipelines to ensure system reliability before deployment.

A powerful security tool for querying Certificate Transparency (CT) logs via crt.sh and pycrtsh. It detects potential security threats such as phishing domains, unauthorized certificate issuance, and shadow IT infrastructure. The tool specifically monitors new certificates for typosquatting and brand impersonation using advanced distance metrics, enabling proactive security threat detection.

This skill provides comprehensive tracking and visualization for Security Operations Center (SOC) performance. It calculates critical metrics such as Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), and alert quality ratios using SIEM data. Ideal for SOC leadership, compliance auditing, and continuous process improvement initiatives needing quantifiable security posture reporting.

A structured guide for conducting blameless post-mortem reviews after any security incident. This process helps identify root causes using techniques like the 5 Whys, calculates critical metrics (MTTD, MTTR), and generates actionable recommendations to continuously improve incident response playbooks and procedures.

This guide outlines the comprehensive process for planning and executing authorized vishing (voice phishing) pretext calls. Used in red teaming exercises, it assesses employee susceptibility to social engineering attacks and evaluates the effectiveness of existing security awareness controls. Key steps include OSINT research, developing believable pretexts (e.g., IT helpdesk impersonation), structured call execution, and collecting detailed metrics.

This guide details the end-to-end process of conducting a sophisticated spearphishing simulation campaign, mirroring real red team adversary techniques. It covers initial OSINT research and pretext development, building weaponized payloads that bypass security controls, setting up robust email infrastructure (SPF/DKIM/DMARC), executing the campaign in waves, and performing detailed post-campaign metrics analysis for comprehensive security reporting.

This skill automates the entire iterative process of Design Space Exploration (DSE), primarily for computer architecture and EDA problems. It executes complex programs, analyzes resulting objective metrics, and intelligently tunes input parameters (e.g., cache size, pipeline width, optimization passes). It continues iterating until a predefined objective is met or a timeout is reached, making it ideal for optimizing complex system and hardware configurations.

This guide details the end-to-end process for executing authorized phishing simulations. It instructs security teams and red teams on designing realistic social engineering pretexts, setting up credential harvesting infrastructure (using tools like GoPhish), and measuring key metrics such as open rates, click-through rates, and credential submission rates. It is crucial for assessing organizational human security awareness and testing email security controls (e.g., DMARC, SPF, DKIM).

This skill guides the implementation of continuous, risk-adaptive identity verification crucial for Zero Trust Architecture (ZTA). It covers deploying phishing-resistant MFA (FIDO2/WebAuthn), advanced risk-based conditional access policies, and identity governance strategies. Users learn how to move beyond traditional credentials by leveraging multiple signals—such as device posture, behavioral biometrics, and location context—to dynamically assess and enforce trust levels before granting access.