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Pydantic Ai Agent Creation
by
Kevin Anderson
· GitHub ↗
· v1.0.1
· MIT-0
182
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0
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2
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Install in OpenClaw
/install pydantic-ai-agent-creation
Description
Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or in...
Usage Guidance
This skill is an instruction-only guide for building PydanticAI agents and appears coherent. Before using it: (1) remember that calling agent.run will contact LLM providers (OpenAI/Anthropic/Google); you will need to supply provider API keys outside the SKILL.md—the skill doesn't declare them. (2) Avoid hard-coding keys in code examples; use environment variables, secret stores, or pass secrets through well-audited deps objects. (3) If you plan to install any referenced Python package (pydantic_ai), verify the package source and version (PyPI/GitHub) before installing. (4) If you need tighter control, run smoke tests in an isolated environment to observe network egress and verify that the agent behavior matches expectations.
Capability Analysis
Type: OpenClaw Skill
Name: pydantic-ai-agent-creation
Version: 1.0.1
The skill bundle consists entirely of documentation and code examples for using the legitimate 'pydantic-ai' Python library. The SKILL.md file provides standard usage patterns for creating AI agents, handling structured outputs, and managing dependencies without any indicators of malicious intent, data exfiltration, or prompt injection attacks.
Capability Tags
Capability Assessment
Purpose & Capability
The name/description match the content: examples and guidance are about constructing Pydantic-based agents and using typed deps/output. There are no unrelated binaries, config paths, or credentials requested that would contradict the stated purpose.
Instruction Scope
Instructions stay within the domain of creating and validating agents. They do assume network calls to LLM providers (openai/anthropic/google) when you call agent.run/_sync/_stream and show examples that expect provider access. The document does not instruct reading unrelated files or exfiltrating data, but it does not explicitly document how or where provider credentials should be supplied.
Install Mechanism
No install spec or code files are included; this is instruction-only, so nothing will be written to disk by the skill itself. Low install risk.
Credentials
The skill declares no required environment variables (none are needed for the instructions themselves), but the examples rely on external model providers which in practice require API keys or credentials. The SKILL.md does not declare or instruct how to provide those credentials (env vars, SDK config, or passing via deps), so users should anticipate supplying provider-specific secrets externally.
Persistence & Privilege
always is false and disable-model-invocation is false (normal). The skill does not request persistent presence or system-level config changes.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pydantic-ai-agent-creation - After installation, invoke the skill by name or use
/pydantic-ai-agent-creation - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Added a "Verification gates" section outlining step-by-step checks for agent reliability before production use.
- Updated the Agent configuration example to explicitly import ModelSettings.
- No changes to interface or functionality—documentation improvements only.
- No breaking changes.
v1.0.0
- Initial release of pydantic-ai-agent-creation skill.
- Enables creation of PydanticAI agents with type-safe dependencies and structured outputs.
- Supports model selection via provider:model-name format.
- Allows use of Pydantic models for validated, typed agent responses.
- Provides flexible agent configuration for output types, dependencies, instructions, retries, settings, and execution methods.
- Includes guidance for parameterized, dependency-free, and structured agent patterns.
Metadata
Frequently Asked Questions
What is Pydantic Ai Agent Creation?
Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or in... It is an AI Agent Skill for Claude Code / OpenClaw, with 182 downloads so far.
How do I install Pydantic Ai Agent Creation?
Run "/install pydantic-ai-agent-creation" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pydantic Ai Agent Creation free?
Yes, Pydantic Ai Agent Creation is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pydantic Ai Agent Creation support?
Pydantic Ai Agent Creation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pydantic Ai Agent Creation?
It is built and maintained by Kevin Anderson (@anderskev); the current version is v1.0.1.
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