Skill UI

Automates adapting pretrained models via transfer learning by analyzing requirements, generating PyTorch or TensorFlow fine-tuning code, validating data, tracking KPIs, and saving artifacts so you can quickly reuse existing models for new datasets and tasks.

Builds AutoML pipelines by analyzing user requests, generating code for data preparation, model selection, hyperparameter tuning, validation, and metrics, then documenting artifacts for streamlined automated machine learning workflows.

Track experiments, catalog models, compare versions, and deploy trained artifacts with MLflow’s framework-agnostic lifecycle tools across PyTorch, TensorFlow, and other stacks.

Hindsight is an open-source digital forensics tool designed to parse and correlate artifacts from Chromium-based browsers (Chrome, Edge, Brave, Opera). It extracts comprehensive data, including browsing history, cookies, download records, autofill data, and saved passwords, generating unified, chronological timelines essential for incident response, insider threat investigation, and digital forensics cases.

A specialized tool for digital forensics investigators that parses the Windows Amcache.hve registry hive. It extracts crucial evidence regarding program execution history, application installation metadata, and loaded driver binaries. By correlating SHA-1 hashes and reconstructing timelines, users can determine which executables ran on a system, aiding in incident response and threat detection.

Timesketch is a collaborative, open-source platform for security teams to analyze and reconstruct complex forensic timelines. It ingests and normalizes multi-source security data (logs, artifacts) using methods like Plaso, CSV, and JSONL. Users can visualize event chronology, track attack chains, and utilize advanced built-in analyzers (e.g., Sigma, Chain of Events) for comprehensive incident investigation and documentation.

This guide details how to detect WMI event subscription persistence, a common attacker technique (T1546.003). It focuses on analyzing suspicious Sysmon Event IDs 19, 20, and 21 to identify malicious EventFilters, EventConsumers, and Bindings. Essential for incident response and threat hunting in Windows environments.

A comprehensive workflow for extracting, parsing, and analyzing Windows Event Logs (EVTX). It guides security professionals in using advanced tools like Chainsaw and Hayabusa, combined with Sigma rules, to detect critical security incidents such as lateral movement, privilege escalation, and persistence mechanisms during incident response and digital forensic investigations.

This comprehensive guide provides a detailed workflow for parsing Windows LNK shortcut files in a digital forensics context. It extracts critical artifacts including target paths, timestamps (creation, access, modification), volume serial numbers, and machine identifiers. It is essential for reconstructing user file access history, tracking accessed files on network shares, and building robust forensic timelines.

This tool performs a rigorous Level 2 semantic epistemic review of Agent-Native Research Artifacts (ARAs). It assesses six critical dimensions—including evidence relevance, falsifiability, and methodological rigor—to determine the content's intellectual soundness. It is used after initial structural validation to provide objective, constructive criticism, scoring the work from Strong Accept to Reject.

This skill provides a comprehensive, reproducible workflow for performing matched tumor-normal analysis using nf-core/pacsomatic. It manages the entire computational lifecycle, including input validation, generating pacsomatic-compliant samplesheets, creating Nextflow launch artifacts, executing locally, or submitting to specialized schedulers (Slurm, LSF). It is essential for dry-run checks and troubleshooting complex bioinformatics pipeline failures.