pydantic-ai
Pass
Audited by Gen Agent Trust Hub on Mar 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns or security vulnerabilities were identified in the skill's instructions or implementation examples.
- [EXTERNAL_DOWNLOADS]: The skill provides guidelines for installing the framework and its dependencies from PyPI using standard commands (e.g.,
pip install pydantic-ai). It references official documentation and repositories for well-known AI services including OpenAI, Anthropic, Google, and Microsoft. - [COMMAND_EXECUTION]: Documentation includes examples of using local subprocesses for specific framework features, such as running local MCP (Model Context Protocol) servers via
MCPServerStdioand utilizingProcessPoolExecutorwithin graph-based workflows. These are standard architectural components of the framework. - [PROMPT_INJECTION]: The framework explicitly addresses prompt injection by providing features to disable schema injection and encouraging the use of structured output validation through Pydantic models.
- [CREDENTIALS_UNSAFE]: Code examples follow security best practices by using environment variables or placeholders for API keys instead of hardcoded secrets.
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