building-pydantic-ai-agents
Pass
Audited by Gen Agent Trust Hub on Oct 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a high-quality documentation and pattern guide for the
pydantic-aiPython library. It adheres to best practices for AI agent development, such as promoting structured output and prompt caching. - [EXTERNAL_DOWNLOADS]: The skill references several external URLs for documentation and setup (e.g.,
pydantic.dev,logfire.pydantic.dev). These are official domains owned by the trusted author 'pydantic'. - [CREDENTIALS_SAFE]: The skill correctly instructs users to manage secrets via environment variables (e.g.,
LOGFIRE_TOKEN,PYDANTIC_AI_GATEWAY_API_KEY) or dedicated auth CLI tools (uvx logfire auth) rather than hardcoding them in the skill itself. - [COMMAND_EXECUTION]: While the skill mentions running commands in a workspace (
LocalWorkspace), it includes explicit security warnings that this provides no isolation and should only be used for trusted workloads, recommending sandboxed environments for untrusted code. - [INDIRECT_PROMPT_INJECTION]: The documentation discusses handling untrusted data and includes patterns for using Pydantic models for structured output, which naturally provides a layer of validation against malformed or malicious data injection.
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