skills/quegenx/agent-skills/grafana/Gen Agent Trust Hub

grafana

Pass

Audited by Gen Agent Trust Hub on Oct 23, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTIONPRIVILEGE_ESCALATIONCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill fetches official Grafana tools and collectors, including the gcx CLI, the alloy collector, and the mcp-grafana server, from Grafana Labs' verified GitHub repositories and package registries.
  • [REMOTE_CODE_EXECUTION]: Instructions in PROVISIONING-AND-API.md describe installing the gcx CLI using a remote shell script (curl piped to sh). While this is a high-risk pattern, the source is an official Grafana Labs repository, which is a trusted organization.
  • [PRIVILEGE_ESCALATION]: The BEYLA.md and PYROSCOPE.md components require high-level system privileges (privileged: true and hostPID: true) to perform eBPF-based instrumentation on the host Linux kernel. Additionally, PROVISIONING-AND-API.md includes commands to bypass macOS Gatekeeper (xattr quarantine removal) for the gcx binary.
  • [COMMAND_EXECUTION]: The skill makes extensive use of CLI tools and APIs to perform administrative tasks such as resetting admin passwords, managing service accounts, and deploying stack configurations.
  • [INDIRECT_PROMPT_INJECTION]: The skill possesses an attack surface for indirect prompt injection as it processes untrusted external data from logs, traces, and browser sessions.
  • Ingestion points: Browser session data ingested via gcx frontend sessions get in FARO-SESSIONS.md and log streams in LOKI.md.
  • Boundary markers: The skill provides an explicit warning to the user to treat session dumps as untrusted data that may contain malicious instructions or PII.
  • Capability inventory: The skill utilizes curl, kubectl, and the gcx CLI for stack management and resource provisioning.
  • Sanitization: Instructions emphasize manual review of evidence and the use of scoped selectors to minimize the ingestion of irrelevant or untrusted content.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 23, 2026, 11:53 PM