monte-carlo-monitoring-advisor
Pass
Audited by Gen Agent Trust Hub on Apr 24, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The documentation recommends installing the
montecarlodataPython package from PyPI. This is the official command-line interface for the Monte Carlo platform, developed by the skill's author, and is a standard requirement for deploying the generated monitors-as-code YAML. - [DATA_EXFILTRATION]: The skill interacts with the Monte Carlo API through a dedicated MCP server to retrieve metadata about warehouses, tables, and AI agents. This access is limited to monitoring-related telemetry and schema information required for the skill's primary function of data quality and agent observability.
- [INDIRECT_PROMPT_INJECTION]: The skill includes workflows to process and analyze AI agent traces and conversation logs. While these inputs are technically from external sources, the skill treats them as analytical data and produces structured YAML configurations for user review, minimizing the risk of instructions in the logs influencing the agent's behavior maliciously.
Audit Metadata