Skill UI

A comprehensive guide for implementing secure and reliable webhook endpoints to handle Vercel deployment lifecycle events. This skill covers signature verification (HMAC) to ensure security, processing key events (e.g., deployment.ready, deployment.error), and implementing idempotency to prevent duplicate actions. Ideal for building automated CI/CD integrations, status notifications, or custom project hooks that react to deployment changes in real-time.

Automates webhook signature validation within API integrations, offering best-practice guidance, production-ready snippets, and configurable checks to ensure secure third-party communication.

This skill automates the creation of comprehensive test suites for any codebase. Utilizing advanced AI capabilities, it analyzes function signatures, automatically identifies potential edge cases, generates meaningful assertions, and produces necessary mock data and fixture files. It is essential for developers needing robust unit tests, increasing code coverage, and adopting Test-Driven Development (TDD) workflows across various frameworks like Jest or pytest.

Guides writing high-quality YARA-X detection rules for malware hunting, covering naming conventions, string selection, performance tuning, migrations from legacy YARA, and reducing false positives when authoring, reviewing, or debugging signatures.

Yara Authoring helps security teams write precise YARA rules for threat detection and malware hunting by guiding string/tag management and metadata handling so signature creation keeps pace with investigations.

Parses Cobalt Strike malleable C2 profiles via pyMalleableC2 to pull beacon configs, HTTP communication patterns, sleep/jitter settings, and combines JARM scans for C2 detection when hunting suspected infrastructure or building IDS signatures.

Guidance for detecting DLL side-loading attacks by monitoring DLL loads, validating signatures/hashes, and correlating host behavior to flag hijacked execution flows in enterprise environments.

Guides threat hunters through proactive detection of Mimikatz execution by correlating command-line signatures, LSASS access, binaries, and in-memory artifacts across EDR and SIEM telemetry.

Use Suricata or Snort IDS signatures, threshold rules, and traffic anomaly analysis to spot Nmap, Masscan, and custom port scans early in the kill chain and feed structured alerts for SOC handling.

Guides API testers through exploiting JWT algorithm confusion by forcing RS256 tokens to HS256, abusing alg:none signature bypasses, and injecting attacker-controlled keys via kid/jku/x5u headers to verify that servers enforce the expected signing algorithm.

Extracts hashes, network artifacts, host indicators, and behavioral clues from malware samples to share threat intelligence and seed detection content such as YARA rules or IDS signatures.

Detect Cobalt Strike beacon callbacks by correlating TLS certificate signatures, JA3/JA3S/JARM fingerprints, HTTP C2 profile matches, beacon interval jitter, and Zeek/Suricata/Python PCAP analysis to flag high-confidence activity and suggest responses.