Skill UI

This advanced skill orchestrates a comprehensive, multi-agent review of legal contracts. It analyzes risk, compliance, missing protections, and plain-English readability simultaneously. By simulating a team of legal specialists, it aggregates findings into a single executive report, complete with a quantifiable Contract Safety Score (0-100). Ideal for founders, freelancers, or small businesses needing expert legal insights without retaining full-time counsel.

A comprehensive security tool designed for AI environments (OpenClaw). It functions as an 'antivirus' for AI skills, performing deep audits, scanning skills before installation, and running full security health checks. Its primary goal is to detect vulnerabilities, prevent data leaks, and mitigate privacy risks, ensuring the integrity and safety of the AI workspace.

A comprehensive tool designed to scan any agent skill for potential security risks and vulnerabilities before implementation or use. Powered by local static analysis (A.I.G.), it ensures that no file contents, credentials, or personal data ever leave your device, providing maximum privacy and safety for integrating new AI capabilities across various agent platforms.

This skill automatically converts structured data specifications (such as CSV, JSON schemas, SQL DDL, or Protobuf definitions) into functional, production-ready code. It generates complete models, validation logic, full CRUD API endpoints, and unit tests in multiple languages (Python, TypeScript, Go, etc.), significantly reducing boilerplate coding time and ensuring type safety.

This setup implements a pre-execution hook to safeguard code repositories by intercepting and blocking destructive Git operations (e.g., `git push`, `git reset --hard`, `git clean`). It prevents accidental or unauthorized data loss during automated code generation or tool use within AI environments, ensuring robust version control safety.

This benchmark evaluates Vision-Language Models (VLMs) on detecting potential safety hazards within indoor environments. It uses static camera frames, simulating real-world fixed security camera monitoring. The test covers 40 scenarios across 5 critical categories, including fire/smoke, electrical risks, trips/falls, child safety, and falling objects, providing a rigorous measure of VLM's practical safety inspection capability.

This guide details best practices for setting up and managing HubSpot integrations across development, staging, and production environments. It emphasizes the critical use of environment-specific access tokens, robust secret management (Vault, AWS/GCP SM), and implementing safety guards within CI/CD pipelines to ensure data integrity and prevent cross-environment deployment errors.

A comprehensive guide for setting up Intercom across development, staging, and production environments. This method ensures proper environment isolation, manages environment-specific access tokens and webhooks, and implements safety guards to prevent accidental data modification in critical workspaces. Essential for secure CI/CD deployments of SaaS applications.

This comprehensive guide provides a production-ready, layered architecture pattern for integrating external systems with Intercom. It covers service management (Contacts, Conversations), webhook processing, contact syncing (CRM), and robust client handling, ensuring type safety and scalability. Use this when designing new, complex Intercom integrations or reviewing existing project structures.

A comprehensive advisor for Hospital IT Managers and Digital Health Leaders. This skill guides digital transformation across the entire healthcare lifecycle, focusing on achieving clinical safety, compliance (HIMSS, ONA, JCI), and maximizing operational value. It covers everything from HIS/PEP integration (MV-SOUL, Tasy) and interoperability standards (FHIR, HL7) to advanced security frameworks (NIST, ISO 27001) and legal compliance (LGPD). Ideal for planning digital roadmaps and ensuring high-availability for life-critical systems.

This skill guides users through setting up a robust, local development loop for Notion integrations. It covers creating dedicated development tokens, structuring the project for testability, implementing mocked SDK unit tests, and handling API rate limits with exponential backoff retries. This ensures rapid, reliable iteration and testing without compromising production data safety.

This skill addresses the challenge of managing Dev/Staging/Prod separation in OCI without native account separation. It uses Python to centralize configuration profiles, compartment IDs, and implements safety guardrails (like blocking destructive actions in production) to prevent accidental cross-environment deployments, ensuring repeatable and secure cloud workflows.