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.

This skill automates the enrichment of Indicators of Compromise (IOCs) by orchestrating lookups across multiple industry-leading threat intelligence sources (e.g., VirusTotal, AbuseIPDB, Shodan). It provides contextual scoring and disposition recommendations for IPs, domains, URLs, and hashes. Ideal for SOC analysts during alert triage or incident investigation to quickly assess risk and scope.

This tool provides a structured methodology for triaging web application security findings generated by DAST and SAST scanners (e.g., Burp Suite, ZAP). It validates true positives, dismisses false positives, and assigns risk ratings using the OWASP Risk Rating Methodology (Risk = Likelihood x Impact). Use it to reduce alert fatigue and prioritize remediation efforts for development teams, ensuring focus on the most critical vulnerabilities.

This skill provides building blocks and workflows to programmatically design, test, and deploy automated triage agents for Monte Carlo alerts. Users can fetch, score, and troubleshoot alerts interactively or set up scheduled, reusable workflows, moving from manual review to fully automated incident response.