SkillShield is a security assessment tool that scans MCP servers and AI skills for vulnerabilities and assigns each a 0–100 trust score.
SkillShield is an independent trust authority designed to evaluate and monitor the security posture of AI agents, Model Context Protocol (MCP) servers, and related AI skills. Its primary purpose is to provide an objective, standardized trust score (0–100) that helps teams understand how safe and reliable a given AI skill or integration is before deploying it in production workflows. By scanning AI capabilities at the skill and server level, SkillShield helps organizations reduce security risk and improve governance around AI-driven automation.
The platform automatically analyzes MCP servers and AI skills for common security issues, misconfigurations, and risky behaviors, such as overly broad permissions, unsafe tool invocations, or inadequate input validation. It generates a detailed report that highlights identified vulnerabilities, assigns a trust score, and offers remediation guidance to improve that score. SkillShield can be integrated into CI/CD pipelines or agent registries to enforce minimum trust thresholds before new skills are approved. Its standardized scoring model enables consistent comparison across different agents, vendors, and environments.
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