Skill UI

Transforms data into publication-ready figures with multi-panel layouts, precise annotations, colorblind-friendly palettes, and journal formatting using matplotlib, seaborn, and plotly plus export helpers for PDF/EPS/TIFF.

Seaborn is a powerful Python library for creating publication-quality statistical graphics. It is designed for dataset-oriented plotting, making it ideal for exploratory data analysis, multivariate analysis, and visualizing complex relationships, distributions, and comparisons with minimal code. It builds upon Matplotlib, offering high-level interfaces for functions like scatterplots, heatmaps, and pair plots.

This skill provides comprehensive tools for AI engineers and researchers to publish, manage, and link research papers directly on the Hugging Face Hub. It supports creating dedicated paper pages, linking papers to corresponding models and datasets, claiming authorship, and generating professional, markdown-based research articles with LaTeX support. Use it to streamline the entire academic publishing workflow from initial draft to final publication.

A comprehensive guide and set of scripts to systematically audit AWS S3 buckets for security misconfigurations. This tool identifies publicly exposed data, overly permissive ACLs, inadequate bucket policies, and missing encryption settings, ensuring adherence to least-privilege principles and compliance frameworks like SOC 2 or HIPAA.

This skill provides a systematic methodology for building comprehensive threat actor profiles using Open-Source Intelligence (OSINT). It involves gathering, correlating, and analyzing publicly available data from diverse sources (e.g., vendor reports, dark web forums, code repositories). Users can map adversary TTPs to MITRE ATT&CK, assess motivations, and build structured dossiers for proactive defensive strategies and attribution assessments.

This skill provides comprehensive methods for collecting and synthesizing Open-Source Intelligence (OSINT) regarding threat actors, malicious infrastructure, and attack campaigns. It utilizes public data sources, passive reconnaissance tools (like WHOIS, Certificate Transparency), and specialized platforms (Maltego, Shodan, SpiderFoot) to map adversary context and perform pre-engagement intelligence gathering for authorized red team assessments. Emphasis is placed on passive collection techniques to ensure legality and operational security.

This guide details how to conduct comprehensive external reconnaissance using Open Source Intelligence (OSINT) techniques. It teaches testers to passively map an organization's entire digital footprint, including enumerating subdomains, discovering internet-facing infrastructure (via Shodan/Censys), identifying personnel data, and analyzing leaked credentials from public sources. Ideal for the initial phases of penetration testing or red team engagements.

Build a production-ready, AI-powered data collection agent for any public source (job boards, prices, news, etc.). This agent automatically scrapes data, enriches it using free LLMs (like Gemini Flash), and stores the results in databases such as Notion, Sheets, or Supabase. It runs on a free schedule using GitHub Actions and learns from user feedback, making it ideal for continuous data monitoring and tracking.

A comprehensive guide detailing the methodology for identifying and exploiting Server-Side Request Forgery (SSRF). This technique is critical in authorized penetration testing, allowing attackers to pivot from public-facing applications to internal resources. Use cases include stealing cloud provider metadata (AWS, GCP), scanning private IP ranges, and accessing internal APIs and admin panels.

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.

Open Source Intelligence (OSINT) is the critical first phase of red team engagements. This guide details how to systematically collect publicly available data about a target organization. It covers mapping network assets (domains, IPs), identifying personnel for social engineering, discovering credential leaks, and mapping the entire technology stack. Use this skill during authorized security assessments to build comprehensive attack surface maps and initial access strategies.

This skill automates the monitoring of public paste sites (e.g., Pastebin, GitHub Gists) to detect leaked credentials, API keys, and sensitive data dumps. It employs advanced regex patterns and keyword matching to provide early warning of security breaches, crucial for incident response, vulnerability assessment, and threat intelligence gathering.