Skill UI

Provides a comprehensive monitoring solution for the Perplexity Sonar API. It tracks critical performance metrics, including latency (p95), cost per query, error rates, and citation quality. This skill is essential for implementing production monitoring dashboards, configuring proactive alerts (e.g., high latency, zero citations), and ensuring the API's stability and high-quality output in real-world applications.

This skill provides comprehensive expertise for senior database administrators to optimize and manage PostgreSQL databases at an advanced level. Use it for deep query analysis via EXPLAIN ANALYZE, implementing advanced features like JSONB indexing, configuring streaming or logical replication, and maintaining database health through VACUUM tuning and monitoring pg_stat views. Ideal for building highly available, high-performance, and resilient system architectures.

Master systematic methodologies for using Shodan to perform deep reconnaissance during penetration testing. This skill covers querying exposed services, mapping assets, identifying vulnerable systems (CVEs), and utilizing advanced filters for IP ranges, geographical locations, and organizational data. Ideal for security researchers and ethical hackers.

This skill guides SOC analysts and detection engineers on how to correlate complex, multi-stage attacks within the IBM QRadar SIEM platform. It covers advanced usage of AQL (Ariel Query Language) for deep event investigation, building custom correlation rules (Building Blocks and Offenses), and cross-source data correlation (e.g., auth failures with network flows). It is essential for reducing false positives and improving threat detection accuracy.

A proactive, hypothesis-driven skill designed to hunt for Advanced Persistent Threats (APT) within complex enterprise environments. It analyzes endpoint telemetry, network logs, and memory artifacts using frameworks like MITRE ATT&CK. Use this skill when investigating anomalous behavior flagged by UEBA, conducting scheduled threat sprints, or validating exposure to known TTPs using tools like Velociraptor and osquery.

A comprehensive guide to identifying covert data exfiltration channels using Zeek logs. This technique analyzes DNS traffic for high-entropy subdomains, unusually long query lengths, abnormal record types (TXT/NULL), and excessive query volume, which are key indicators of malicious DNS tunneling or command-and-control (C2) activity.

A comprehensive guide for conducting hypothesis-driven threat hunting against supply chain compromises (T1195). This skill focuses on querying SIEM/EDR logs to detect indicators of trojanized software updates, compromised dependencies, unauthorized code modifications, and tampered build artifacts. It is crucial when investigating suspected vendor compromises or scoping a build pipeline breach, requiring advanced knowledge of logging systems and threat intelligence.

A comprehensive guide to deploying and configuring Wazuh SIEM/XDR for robust endpoint detection and response. This skill covers agent authentication and management via API, creating custom decoders and rules, querying security alerts, and validating rule logic using logtest functionality.

This skill details the deployment of Privileged Access Management (PAM) for critical database systems, including Oracle, SQL Server, PostgreSQL, and MySQL. It covers essential security controls such as session proxy configuration, credential vaulting, query auditing, and enforcing least-privilege access, helping organizations meet stringent compliance and security standards.

Utilize Velociraptor, an advanced open-source platform, to collect, query, and monitor forensic artifacts across diverse endpoints (Windows, Linux, macOS). This skill enables incident response teams to perform large-scale, rapid digital forensic investigations by collecting critical data such as event logs, registry entries, prefetch files, and network metadata using VQL queries.

A comprehensive guide to investigating AWS account compromises by querying CloudTrail logs. Use boto3 or AWS Athena to filter suspicious activities—such as unauthorized API calls, S3 data exfiltration, or IAM privilege escalation—to reconstruct a detailed attacker timeline and generate a professional forensic report.

A comprehensive solution for performing Operational Technology (OT) vulnerability assessments using the Claroty xDome platform. It automatically discovers assets, correlates vulnerabilities using CVE and ICS-CERT advisories, and calculates risk scores. This method is designed for compliance requirements (e.g., IEC 62443, NERC CIP) and initial asset risk profiling, relying on passive monitoring and safe querying rather than active scanning or penetration testing.