google-cloud-solution-multi-agent-security
Pass
Audited by Gen Agent Trust Hub on Sep 22, 2026
Risk Level: SAFECOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
- Command Execution for Authentication: The verify_egress_policies.py script uses subprocess.check_output to fetch a local identity token via the gcloud CLI. This is a standard procedure for authenticating requests to cloud APIs and is used here to verify security policies.
- Indirect Prompt Injection Surface: The skill acts as a template generator that interpolates user-provided values into configuration files and scripts. (1) Ingestion points: Configuration placeholders and test payload files like model-armor-payload.json are processed to create deployment artifacts. (2) Boundary markers: The templates do not use specific delimiters or instructions to isolate potentially untrusted input during interpolation. (3) Capability inventory: Scripts utilize gcloud, curl, and Python's subprocess and requests modules. (4) Sanitization: The provided logic does not implement explicit validation or escaping for the variable placeholders used in scripts and YAML assets.
- External API Interaction: Scripts use curl to interact with official Google Cloud endpoints. These operations are intended for policy enforcement and security validation within the user's cloud environment.
- Simulated Test Payloads: The model-armor-payload.json file contains a prompt injection string explicitly provided as a resource for testing the effectiveness of safety guardrails.
Audit Metadata