Pydantic
CheckedPydantic validates Python data structures against schemas, ensuring data integrity and simplifying API development.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add bobmatnyc/claude-mpm-skills --skill pydantic -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
bobmatnyc
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned bobmatnyc/claude-mpm-skills at 718070a7d6.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 718070a7d6
- Scanned
- 2 files, 1,383 lines
About this skill
What it does
The pydantic skill provides tools to validate and manage data models using Pydantic, a Python library that enforces type hints at runtime. It helps ensure data integrity by automatically validating inputs against predefined schemas.
When to use it
- When you need to validate user input or API responses based on strict data structures.
- When working with complex data models in applications requiring strong typing and validation.
- To serialize and deserialize Python objects into JSON formats consistently and safely.
Key capabilities
- Automatic data validation using type hints
- Support for custom validation logic
- Serialization/deserialization of data models to/from JSON
- Integration with Python’s type system for improved code reliability
Example prompts
- "Validate this dictionary against the User model defined in Pydantic."
- "Convert this JSON string into a Pydantic model instance."
- "Add validation rules to ensure all fields are required in the Product schema."
Tips & gotchas
- Ensure your environment has Pydantic installed before using this skill.
- Be mindful of version differences between Pydantic v1 and v2, as they have different APIs and behaviors.