monte-carlo-performance-diagnosis
Pass
Audited by Gen Agent Trust Hub on Sep 7, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns such as prompt injection, data exfiltration, or obfuscation were identified. The skill provides a structured workflow for using specific tools from a Monte Carlo MCP server to diagnose performance issues.
- [SAFE]: The skill includes instructions to avoid exposing internal identifiers (MCONs, UUIDs) to the end user, which is a recommended practice for data privacy and security.
- [SAFE]: External references point to the official GitHub repository of Monte Carlo Data, a well-known technology provider in the data observability space.
- [SAFE]: The tool routing instructions ensure the agent uses the intended bundled server, preventing potential credential or endpoint confusion.
Audit Metadata