Skill UI

Automate OneDrive file management tasks through Composio's Rube MCP toolkit, handling uploads, downloads, search, sharing links, permissions, and folder navigation via documented tool sequences once the MCP connection is active.

This skill provides a comprehensive framework for ingesting, normalizing, and enriching threat intelligence (CTI) from multiple structured and unstructured sources. It guides users through scoring feeds, converting heterogeneous IOC formats (like OpenIOC, YARA) into the standardized STIX 2.1 format, and enriching indicators using external services (e.g., VirusTotal, PassiveTotal). Ideal for building robust, automated threat detection pipelines for SIEM and EDR systems.

Builds a comprehensive, automated pipeline for malware submission and analysis. It collects suspicious files from multiple sources (EDR, email gateways), automatically submits them to sandbox environments and multi-engine scanners, and generates detailed verdicts and Indicators of Compromise (IOCs). Essential for SOC teams needing to scale high-volume malware triage and incident response.

A comprehensive, structured playbook for Security Operations Centers (SOCs) detailing the entire lifecycle of ransomware incidents. It guides analysts through detection (SIEM queries), triage decision trees, containment (EDR/Firewall), evidence collection, and recovery phases, adhering to NIST CSF and MITRE ATT&CK frameworks.

This framework provides a systematic methodology for cybersecurity professionals to transform raw threat intelligence, observed attack patterns, and environmental telemetry into verifiable, testable hunting hypotheses. It guides the end-to-end process, from hypothesis formulation and data identification across SIEM/EDR systems, to deep correlation and reporting, enabling proactive threat detection and scope assessment.

Guides responders through detecting, scoping, containing, analyzing, eradicating, and recovering from malware incidents on enterprise endpoints, using EDR, sandboxing, threat intel, and MITRE mapping for thorough remediation.

A comprehensive guide and methodology for detecting process hollowing (T1055.012). It involves advanced memory forensics, analyzing memory-mapped sections, and correlating parent-child process anomalies using EDR and Sysmon data to identify fileless and in-memory malware threats.

This utility provides a comprehensive framework for proactive threat hunting, focusing on detecting advanced and suspicious PowerShell execution patterns. It covers common attacker techniques such as encoded command usage, download cradles (IEX), AMSI bypass attempts, and constrained language mode evasion. It is designed for security analysts during incident response and threat intelligence validation, requiring EDR and SIEM telemetry.

Breach and Attack Simulation (BAS) provides an automated, continuous method for validating the effectiveness of security controls (EDR, SIEM, NGFW, etc.). By safely emulating real-world attack techniques mapped to the MITRE ATT&CK framework, BAS helps organizations proactively identify security gaps and measure control maturity across the entire kill chain. It moves beyond point-in-time testing to provide an ongoing security posture assessment.

This skill provides methods for comprehensive forensic acquisition of data from major cloud services, including Google Drive, OneDrive, Dropbox, and Box. It collects evidence through both API-based remote acquisition and local endpoint artifact analysis, making it essential for incident response, security assessments, and digital forensic investigations.

Processes STIX 2.1 threat intelligence bundles delivered via TAXII 2.1 servers. It normalizes various threat intelligence objects (indicators, actors) into platform-native schemas, enabling automated ingestion, validation, and routing to SIEM, TIP, and EDR systems. Ideal for integrating new ISAC feeds or building bi-directional intelligence pipelines.

This system detects ransomware by combining multiple advanced techniques: real-time entropy analysis, file system I/O monitoring, and behavioral heuristics. It identifies abnormal mass file modification patterns, sudden spikes in data entropy (indicating encryption), and suspicious process activities like shadow copy deletion. Ideal for building advanced EDR detection layers to catch zero-day and unknown ransomware variants.