cloud-monitoring-alert-configuration
Pass
Audited by Gen Agent Trust Hub on Nov 11, 2026
Risk Level: SAFE
Full Analysis
- Resource Discovery: The provided scripts (
gather_agent_info.py,discover_metric_schema.py,list_log_scope_table_names.py,list_trace_scope_table_names.py) perform legitimate resource discovery within a Google Cloud environment. They use authorized CLI tools likegcloudandbqor official Google Cloud client libraries to fetch information about Vertex AI agents, Cloud Run services, and monitoring/logging configurations. - Command Execution: The scripts use
subprocess.runto execute standard Google Cloud CLI commands (gcloud,bq). This is a common and necessary pattern for tools that integrate with cloud environments. The commands are hardcoded or use sanitized inputs, minimizing risk. - Network Operations: The scripts make network requests to official Google Cloud API endpoints (
monitoring.googleapis.com,logging.googleapis.com,observability.googleapis.com) for the purpose of retrieving system configuration and metadata. These are well-known and trusted services. - Data Handling: The scripts handle metadata such as project IDs, resource names, and metric schemas. There is no evidence of sensitive user data being accessed or exfiltrated. Credentials are managed through standard authentication methods (Application Default Credentials).
- Validation and Linting: Several scripts (
lint_promql.py,lint_syntax.py,validate_config.py,scan_duplicates.py) are designed for local validation of configuration files (Terraform HCL and PromQL). These perform static analysis and syntax checks, which are security-positive actions. - User Interaction: The instructions in
SKILL.mdexplicitly require the agent to obtain user confirmation before making any changes to infrastructure or incurring billing costs, which is a key safety measure.
Audit Metadata