vllm-studio
Fail
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: HIGHCREDENTIALS_UNSAFECOMMAND_EXECUTIONDATA_EXFILTRATION
Full Analysis
- [Data Exposure & Exfiltration] (HIGH): The file
references/deployment.mdcontains instructions for using a specific private SSH key path:~/.ssh/linux-ai. Referencing or accessing sensitive identity files is a high-risk activity. - [Credential Safety] (HIGH): The file
references/env-and-keys.mddetails the management of several sensitive credentials, includingLITELLM_MASTER_KEY,EXA_API_KEY, andVLLM_STUDIO_API_KEY. While described as setup steps, providing instructions for secret management within an agent's context increases the risk of accidental exposure. - [Command Execution] (MEDIUM): The skill documentation (
references/deployment.md) instructs the user or agent to execute./start.shand perform process management (pkill). Executing unverified local scripts allows for arbitrary code execution on the host machine. - [Indirect Prompt Injection] (LOW): The skill defines a surface for processing external data through the
/chatUI and tool-call prompts. - Ingestion points:
/chatUI (mentioned inreferences/deployment.md). - Boundary markers: Absent; there are no instructions to the agent to treat external inputs as untrusted.
- Capability inventory: Shell script execution (
./start.sh), SSH connection (ssh), and Docker service management. - Sanitization: Absent; no sanitization or validation of the input used in tool calls is described.
Recommendations
- AI detected serious security threats
Audit Metadata