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Found 7 Skills
Add security protection to a server-side route or endpoint — rate limiting, bot detection, email validation, and abuse prevention. Works across frameworks including Next.js, Express, Fastify, SvelteKit, Remix, Bun, Deno, NestJS, and Python (Django/Flask). Use this skill when the user wants to protect an API route, form handler, auth endpoint, or webhook from abuse, even if they describe it as "add rate limiting," "block bots," "prevent brute force," or "secure my endpoint" without mentioning Arcjet specifically. Uses the Arcjet CLI (`npx @arcjet/cli` or `brew install arcjet`) for authentication, site/key setup, remote rule management, and traffic verification.
Security guidelines for API route development
Create, tune, and manage Elastic Security detection rules (SIEM and Endpoint). Use for false positives, exceptions, new coverage, noisy rules, or rule management via Kibana API.
macOS security bypass playbook. Use when targeting macOS endpoints and need to bypass TCC, Gatekeeper, SIP, sandbox, code signing, or entitlement-based protections during authorized red team or pentest engagements.
Security detection use cases for identifying threats across network, endpoint, identity, cloud, application, and email vectors. Use for building detection rules, analyzing security events, and threat hunting operations.
Windows operating system internals relevant for detection engineering — process creation chain (CreateProcess to token assignment), access token and privilege model (SeDebugPrivilege, integrity levels, UAC), DLL loading order and hijacking surface, service control manager architecture, COM/DCOM/WMI execution model, named pipe IPC, ETW provider landscape, AMSI architecture, registry hive structure, and the mapping between OS-level operations and the telemetry they produce. Use when authoring detections that need to understand WHY a behaviour is suspicious at the OS level, not just WHAT tool produces it.
SentinelOne Singularity detection engineering — explicit distinction from Microsoft Sentinel, surface map across STAR Custom Logic (sensor-side behavioural rules), Deep Visibility (DVQL), Singularity Data Lake / PowerQuery (SDL alert configuration, scheduled queries, geo/math functions), exclusions and policies, Storyline ID-based correlation, AI Engine policy modes (detect / protect), SIEM ingestion patterns, and entity alignment for cross-platform correlation. Distilled from Sentinel-One/ai-siem community detection library. Use for sentinel_one-keyed configurations in OpenTide MDR objects — never confuse with microsoft-sentinel.