Skill UI

Direct Python helpers for KEGG's REST API, covering database metadata, listing, search, retrieval, ID conversion, linkage, and drug interactions to power pathway and gene analysis.

This skill provides comprehensive tools for documenting and managing model performance on Hugging Face. It supports multiple methods for adding structured evaluation data, including extracting tables from README content, importing benchmark scores via APIs (like Artificial Analysis), and executing high-performance custom evaluations using advanced backends such as vLLM or lighteval. It ensures that all metadata is structured and compatible with model leaderboards and industry standards.

This specialized skill acts as an expert SEO consultant to diagnose website performance issues. It conducts comprehensive audits covering Technical SEO (crawlability, site structure), On-Page SEO (metadata, content quality), and Content Strategy. It provides a highly structured, actionable report with prioritized recommendations to boost organic search ranking and visibility.

Analyze image SEO and performance: alt text, file sizes, formats, responsive images, lazy loading, CLS prevention, image SERP rankings, and WebP/AVIF conversion with metadata injection.

This tool performs a comprehensive analysis of a single webpage for SEO optimization. It evaluates on-page elements, content quality, technical metadata, schema markup, images, and performance metrics. It generates a score card, identifies critical issues, and provides actionable recommendations to improve search engine visibility and overall user experience.

Analyzes a website's accessibility to major AI crawlers (e.g., GPTBot, ClaudeBot). It checks robots.txt, meta tags, and HTTP headers to generate a complete access map. This helps users optimize their site structure to maximize visibility in AI-generated search results while maintaining appropriate control over data usage.

Perform comprehensive digital forensic analysis on raw (dd), E01, or AFF disk images using industry-standard tools like Autopsy and The Sleuth Kit. This process allows investigators to recover deleted files, examine file system metadata, search for specific keywords, and build detailed investigation timelines. It is essential for generating structured reports from digital evidence in legal and cybersecurity investigations.

A comprehensive toolset for digital forensics investigators, enabling the parsing of proprietary Microsoft Outlook PST and OST files. It extracts critical evidence including full message content, detailed email headers (for message routing/tracing), attachments, and deleted items from the Recoverable Items folder. Essential for e-discovery, legal investigations, and security incident response to reconstruct communication patterns and analyze message metadata.

A comprehensive method for deep forensic analysis of NTFS disk images. It examines critical artifacts such as the Master File Table (MFT), USN Change Journal, Alternate Data Streams (ADS), and unallocated slack space. This is essential for recovering deleted file metadata, detecting hidden data, and reconstructing file system activities when standard recovery tools are insufficient.

Deploy Zeek for passive network analysis to generate structured logs (DNS, HTTP, etc.). This tool detects behavioral anomalies like DNS tunneling or beaconing, complementing traditional signature-based IDS tools. It is ideal for threat hunting and incident response, feeding rich protocol metadata into SIEM platforms.

Structures completed intrusion investigations with the Diamond Model by documenting adversaries, capabilities, infrastructure, and victims plus their relationships, metadata, and pivots to cluster incidents and support campaign attribution, confidence scoring, and analytic write-ups.

A comprehensive guide detailing techniques for detecting and exploiting Blind Server-Side Request Forgery (SSRF). It uses advanced out-of-band (OOB) techniques, such as Burp Collaborator and timing analysis, to interact with internal services, scan private IP ranges, and extract cloud metadata (AWS, GCP, Azure) even when the application does not reflect the server response directly. Essential for web application penetration testing.