Skill UI

Automate the deployment of osquery scheduled queries to continuously monitor endpoints, covering process inventory, network listeners, file integrity, and persistence mechanisms; generate osquery.conf, configure differential logging, analyze suspicious results, and produce a security report.

This skill guides developers through integrating Static Application Security Testing (SAST) tools like CodeQL and Semgrep into GitHub Actions CI/CD pipelines. It covers automating code scanning on pull requests and pushes, tuning rules to reduce false positives, uploading SARIF results, and establishing quality gates to prevent vulnerable code from merging into production.

This comprehensive skill guides the user through monitoring various running experiments across different platforms (SSH, Vast.ai, Modal). It provides structured steps to check running processes, collect logs, extract structured JSON results, and pull detailed metrics from Weights & Biases (W&B). Finally, it summarizes findings, compares against baselines, and suggests next steps.

This skill automates the generation of high-quality, publication-ready figures and comparison tables from raw experimental data (CSV, JSON, etc.). It supports various plot types, including line plots, bar charts, scatter plots, heatmaps, and box plots, ensuring consistent style (DPI 300, PDF format) suitable for academic submissions. Users provide a figure plan and raw data, and the system generates the necessary code to visualize results.

This skill generates a highly structured, section-by-section academic paper outline. It synthesizes raw research materials—including review conclusions, experimental results, and narrative reports—into a cohesive writing framework. Users can specify target conferences or journals (e.g., ICLR, NeurIPS) and even provide a style reference to guide the structural layout, ensuring the resulting plan meets rigorous academic standards.

Zeek is a powerful, open-source network security monitoring framework that generates high-fidelity structured logs and metadata from raw network traffic. This skill covers deploying Zeek, analyzing various protocol logs (HTTP, DNS, TLS, etc.), writing custom detection scripts to identify anomalies, and integrating resulting security insights with SIEM platforms for comprehensive threat detection and forensic investigation.

This guide details how to use GoPhish, an open-source framework, to conduct authorized phishing simulations. You will learn the complete lifecycle, from deploying the tool and configuring SMTP profiles, to creating realistic email templates and cloning secure landing pages. The skill culminates in analyzing campaign results to assess organizational security posture and improve employee resilience against social engineering attacks.

This guide demonstrates how to build comprehensive forensic super-timelines using Plaso (log2timeline) to correlate events across diverse sources. It covers the entire workflow, from processing disk images and various logs (MFT, registry, browser history) to generating standardized CSV, JSONL exports, and visualizing the results in tools like Timesketch for deep investigative analysis.

This comprehensive guide details the process of performing authenticated and unauthenticated vulnerability assessments using Tenable Nessus. It covers everything from advanced scan configuration (port discovery, credentialing, plugin setup) to detailed result analysis, including cross-referencing CVEs and prioritizing remediation based on CVSS scores and exploit availability. Ideal for compliance auditing, penetration testing, and maintaining system patch compliance.

This skill provides a multi-round, deep critical review of research proposals, papers, or experimental results by simulating the perspective of a senior ML reviewer (e.g., NeurIPS/ICML level). It guides the user through identifying logical gaps, missing experiments, and narrative weaknesses, ensuring high fidelity and iterative refinement of technical work.

A comprehensive guide detailing the use of Tenable Nessus, an industry-leading vulnerability scanner. Learn how to configure advanced scan policies, perform both authenticated and unauthenticated scans across servers, network devices, and web applications. This skill covers end-to-end processes from execution to result analysis and reporting.

This module provides a centralized interface for the AgentHub message board. It allows multiple AI agents and the coordinator to communicate, track tasks, and log results through structured markdown posts across dedicated channels (Dispatch, Progress, Results). It is essential for monitoring complex multi-agent workflows and ensuring transparent collaboration and auditing.