cerbos-pep-integration

Pass

Audited by Gen Agent Trust Hub on Nov 1, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill provides detailed guidance for securing AI agent tool calls and MCP servers through policy enforcement.
  • Ingestion points: Processes data from MCP tool call arguments and user-provided agent instructions as described in SKILL.md.
  • Boundary markers: Recommends using the human user's identity (principal) rather than the agent's identity to ensure agents cannot perform actions unauthorized for the user.
  • Capability inventory: Enforcement is performed at the tool-call boundary using checkResource calls to the Cerbos PDP before any tool execution occurs.
  • Sanitization: Encourages the use of list_tools filtering to hide unauthorized capabilities from the model's view while maintaining server-side enforcement as the primary security gate.
  • [EXTERNAL_DOWNLOADS]: References official Cerbos SDKs and documentation from github.com/cerbos, docs.cerbos.dev, and official package registries (NPM, PyPI, Maven, NuGet, Crates.io, Composer, Gem).
  • [COMMAND_EXECUTION]: Provides standard Docker and CLI examples for running a local Cerbos PDP instance for development purposes.
Audit Metadata
Risk Level
SAFE
Analyzed
Nov 1, 2026, 06:46 PM