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This skill helps legal teams evaluate and classify legal risks using a severity and likelihood matrix. It calculates risk scores to determine appropriate actions, from monitoring low risks to escalating critical issues to senior counsel. Useful for contract review, deal exposure analysis, and compliance management.

Build content moderation applications using the Azure AI Content Safety SDK for Java. Covers text and image analysis, harm categories, severity levels, and blocklist management.

Python SDK for Azure AI Content Safety that detects harmful text and image content across hate, sexual, violence and self-harm categories, with severity scoring and custom blocklist management.

Analyze text and images for harmful content using Azure AI Content Safety REST SDK for TypeScript, with customizable blocklists and severity levels.

Provides Bugcrowd-specific vulnerability reporting tactics, including VRT category selection, manual severity overrides, and evidence-based severity rationale for bounty submissions.

Scan container images for vulnerabilities and misconfigurations using tools like Trivy, Grype, and Docker Scout. Integrates with CI/CD pipelines and cloud registries (ECR, ACR, GCR) to ensure compliance and security before deployment. Supports filtering by severity and generating SARIF reports.

Generate professional PDF reports from GEO audit markdown files using pandoc and headless Chrome. Includes styled covers, color-coded scores, and severity tags for client delivery. Requires pandoc and Chrome installation.

Implement effective incident management processes including severity definitions, escalation matrices, war room procedures, and blameless post-mortem templates. Covers on-call schedules, notification workflows, and compliance for SOC 2, HIPAA, and PCI DSS.

This skill provides expert guidance for Site Reliability Engineering (SRE) incident response. It covers rapid problem resolution, modern observability practices, and comprehensive incident management workflows. Use it for assessing severity, establishing command structures, stabilizing systems, investigating root causes using distributed tracing and metrics, communicating with stakeholders, and conducting blameless post-mortems to improve system resilience.

This skill orchestrates multi-agent incident response workflows following modern SRE practices. It guides detection, triage, investigation, mitigation, and resolution phases to ensure rapid service recovery and learning. Includes severity classification, observability analysis, root cause analysis, and deployment strategies for critical system outages and security breaches.

Adaptable templates for incident response runbooks covering detection, triage, mitigation, resolution, and communication. Includes severity levels, runbook structure, and specific procedures for service outages, high latency, and partial failures with actionable steps and verification.

Logic Lens is an AI-powered code review skill that uses formal logic frameworks to detect bugs, anti-patterns, and security risks beyond linters. It covers 9 risk categories including null handling, type safety, concurrency, and security injection, providing severity-ranked findings with fix suggestions.