cyber-ir-playbook
Generate incident response timelines and structured report packs from event logs to facilitate efficient detection-to-recovery tracking.
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142 skills found
Generate incident response timelines and structured report packs from event logs to facilitate efficient detection-to-recovery tracking.
macOS visual automation tool for precise window capture, video recording, UI mockup annotation, Excalidraw wireframing, and automated visual regression testing.
Advanced Python security vulnerability scanner for Flask, Django, and FastAPI projects. Audits OWASP Top 10, dependencies, hardcoded secrets, and framework-specific flaws.
Security advisory monitoring for NanoClaw WhatsApp bots, providing vulnerability scanning, skill safety checks, and integrity protection through MCP tools.
Real-time observability dashboard for PAI multi-agent activity, featuring live WebSocket streaming, session tracing, and agent workflow debugging.
Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.
Automated security skill for identifying and validating XSS vulnerabilities, including Reflected, Stored, and DOM-based attacks across various contexts.
Parses and processes SARIF files from static analysis tools. Enables aggregation, deduplication, filtering, and CI/CD integration of scan results.
Intelligent pattern selection for Fabric CLI, automatically choosing from 242+ specialized prompts for threat modeling, data analysis, summarization, and content creation.
Pre-execution security guardrails for AI agents. Validates shell commands and file reads against 400+ security patterns to block destructive operations, credential theft, and unauthorized system access.
A security scanner for Claude Skills to detect malicious code, data exfiltration risks, and unauthorized system access before installation.
Production-grade observability stack featuring Prometheus metrics, Grafana dashboarding, PromQL query language, alerting rules, and AI-powered anomaly detection for cloud-native applications.