Skill UI

Medchem Filtering Toolkit is a Python library offering drug-likeness heuristics, structural alert and PAINS filters, group detection, catalogs, and complexity scoring to triage compound libraries and prioritize leads in drug discovery workflows.

Query the NIH Metabolomics Workbench via REST API to fetch metabolites, RefMet nomenclature, mass-spec searches, and detailed study datasets for biomarker discovery and metabolomics research.

Provides AI-ready drug discovery datasets, splits, and benchmarks covering ADME, toxicity, DTI, DDI, and molecular generation so researchers can train, compare, and optimize therapeutic ML models with curated splits and oracles.

A comprehensive tool designed to discover, verify, and analyze potential influencers across major social media platforms, including Instagram, Facebook, YouTube, and TikTok. It helps brands identify niche creators, assess engagement rates, evaluate audience authenticity, and track performance metrics for successful brand partnerships and campaign planning.

Helps product teams structure customer discovery interviews by clarifying goals, segments, constraints, and adaptive methods so each session yields actionable insights instead of confirmation bias or surface-level feedback.

This comprehensive guide details the use of FFUF, a fast web fuzzer written in Go. It is designed for advanced security penetration testing, providing techniques for content discovery, subdomain enumeration, parameter fuzzing, and POST data testing. Learn to master the FUZZ keyword, advanced filtering, and auto-calibration to efficiently identify hidden paths and potential vulnerabilities in web applications.

Vexor CLI is a powerful tool for developers needing to locate code, functions, or documentation sections within large repositories based on *intent* rather than exact keywords or file paths. It provides semantic discovery, making it invaluable when manual searching or simple text matching fails, helping developers understand the implementation logic across complex codebases.

A comprehensive command-line interface (CLI) for expert administration and automation of Google Workspace services. It seamlessly integrates with Gmail, Drive, Sheets, Docs, and Calendar, building commands dynamically from Google's Discovery Service. Ideal for system administrators and developers needing to automate file management, bulk operations, security auditing, and complex API interactions.

Guides founders through multi-platform launches—Product Hunt, Hacker News, BetaList, AppSumo, directories, and communities—covering asset prep, waitlists, outreach, and post-launch optimization to maximize momentum and long-tail discovery.

This skill analyzes Active Directory (AD) Access Control Lists (ACLs) to detect dangerous misconfigurations. It uses the ldap3 Python library to query domain controllers, parse security descriptors (SDDL), and identify instances where non-privileged users or groups are granted dangerous permissions like GenericAll, WriteDACL, or WriteOwner on sensitive objects. Essential for security incident response and privilege escalation path discovery.

This guide details advanced techniques for authorized security assessments, focusing on forced browsing. It helps testers discover hidden administrative pages, unprotected APIs, and configuration files by systematically enumerating URLs and challenging application access control mechanisms. Techniques involve using tools like ffuf and Gobuster for comprehensive path and directory discovery.

A comprehensive framework for assessing network security posture. This skill guides the tester through the entire penetration testing lifecycle, from reconnaissance and host discovery (using tools like Nmap) to service enumeration, vulnerability identification (CVEs), and controlled exploitation (Metasploit). It is essential for validating firewall rules, ensuring compliance (e.g., PCI-DSS), and stress-testing critical infrastructure security.