skills/vercel-labs/py-ai/ai/Gen Agent Trust Hub

ai

Pass

Audited by Gen Agent Trust Hub on Apr 13, 2026

Risk Level: SAFE
Full Analysis
  • [Credential Management]: The skill documentation recommends using environment variables (e.g., ANTHROPIC_API_KEY, OPENAI_API_KEY) for authentication. This is a standard security best practice to avoid hardcoding sensitive secrets in source code.
  • [External Tool Integration]: The module utilizes the Model Context Protocol (MCP) to extend agent capabilities. The examples demonstrate fetching tools from trusted sources, such as Anthropic's official filesystem server, which is a common and supported integration pattern.
  • [Package Installation]: The skill suggests installing the vercel-ai-sdk using the uv package manager. This package is the official library provided by the vendor for this framework.
  • [Command Execution Capability]: Through its MCP support, the module can execute external commands via stdio. While this is a powerful capability required for many agent tasks (like filesystem access), it is implemented as a core feature of the protocol and used here with well-known, trusted packages.
  • [Indirect Prompt Injection Considerations]: Like all AI agent frameworks, this module processes external data (user messages and tool results). Developers are encouraged to use the structured output and middleware features described in the documentation to implement validation and safety boundaries.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 13, 2026, 10:18 PM