medium-risk

A medium-risk issue in AI agent Skills involves unannounced file system access, environment variable reads, or database connections that exceed declared permissions. Detecting these issues requires scanning code against metadata permission rules to ensure secure usage.

You scan for permission overreach by running a security scanner that checks Skill code against declared metadata rules. This process identifies unannounced file system, environment variable, and database access to flag medium-risk compliance violations.

Yes, assessing AI agent Skill risks requires a basic understanding of security principles and Skills architecture. This knowledge helps you interpret permission declaration rules and evaluate flagged file system or database access issues.

Permission declaration rules from Skill metadata are used to detect medium-risk issues by comparing declared access against actual code behavior. This identifies unannounced environment variable reads, file system operations, and database connections.

Your AI agent Skill triggers a medium-risk security alert when its code performs undeclared actions like reading environment variables, accessing the file system, or connecting to databases without explicit permission declarations in the metadata.

The best way to identify unannounced database access in Skills is using a security scanner that compares actual code operations against metadata permission declarations. This flags undeclared database connections as medium-risk issues for review.