arista-cvp
Fail
Audited by Gen Agent Trust Hub on Oct 2, 2026
Risk Level: HIGHREMOTE_CODE_EXECUTIONEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill instructions direct the user to clone an external repository (
github.com/noredistribution/mcp-cvp-fun) and execute its content usinguv run. Running unverified code from an external source grants that code full access to the agent's execution environment. - [EXTERNAL_DOWNLOADS]: The MCP server implementation is not contained within the skill but is fetched from a remote GitHub repository at runtime.
- [COMMAND_EXECUTION]: The skill uses shell-level execution commands (
uv run --with fastmcp fastmcp run /path/to/mcp_server_rest.py) to launch the MCP server, providing a mechanism for executing arbitrary Python scripts. - [INDIRECT_PROMPT_INJECTION]: The skill possesses a vulnerable surface for indirect prompt injection by ingesting untrusted data from external sources.
- Ingestion points: External data is ingested through the
get_inventory(device hostnames/metadata) andget_events(alert descriptions/warnings) tools which fetch data from the Arista CloudVision Portal API. - Boundary markers: The instructions do not define boundary markers or delimiters to separate the retrieved data from the agent's internal instructions.
- Capability inventory: The skill has the capability to write back to the environment via the
create_tagtool (executing multi-step POST requests) and can execute shell commands viauv. - Sanitization: There is no mention of sanitization or validation of the content received from the CloudVision API before it is processed by the agent.
- [CREDENTIALS_UNSAFE]: While the skill manages authentication via
CVPTOKEN, it follows security best practices by instructing users to store secrets in a.envfile rather than hardcoding them. However, it explicitly notes that the community-provided source code disables TLS verification, which could expose these credentials to man-in-the-middle attacks on the local network.
Recommendations
- AI detected serious security threats
Audit Metadata