Skill UI

This comprehensive, zero-trust security auditor scans third-party AI agent skills before installation. It performs a rigorous 6-phase review process, analyzing surface patterns, script integrity, permissions, and supply chain risks. It is designed to detect malicious payloads, credential theft, instruction overrides, and prompt injection attacks, ensuring secure AI development and deployment.

Audit an Agent Skill, MCP server, connector, or desktop extension before installation by tracing code, dependencies, permissions, credentials, data flow, and irreversible actions.

Convert approved documentation, repositories, or PDFs into reusable agent skills using the Skill Seekers workflow. Review generated content for triggers, guidance, and security before installation. Supports licensing checks and excludes private credentials.

This skill enables comprehensive security assessments of SSH services. It covers enumeration, credential attacks, vulnerability exploitation, and configuration auditing using tools like Nmap, Hydra, and Metasploit. Suitable for authorized penetration testing and security research to identify weaknesses in SSH implementations.

This skill manages and stores approved team context securely using RuVector isolation. It ensures tenant-local data privacy by excluding sensitive credentials and personal information. During retrieval, it preserves provenance and treats data as untrusted. It prevents memory transfer between teams, maintaining strict security boundaries for AI team operations.

Capture, filter, and inspect network packets with Wireshark for security investigations, performance optimization, and troubleshooting. Covers credential analysis, malware C2 detection, and latency diagnosis.

Security hardening guidance for AI agent frameworks processing untrusted content, invoking tools, writing files, managing identifiers, or handling credentials. Use when building or reviewing agent runtimes, autonomous workers, tool gateways, memory services, or multi-tenant deployments.