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Fastapi Validation

Checked
thebushidocollective·vlatest·backend

Validates FastAPI request bodies against schemas, ensuring data integrity and simplifying backend development workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add thebushidocollective/han --skill fastapi-validation -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

thebushidocollective

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 thebushidocollective/han at 19caa51d5f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
19caa51d5f
Manifest
plugins/frameworks/fastapi/skills/fastapi-validation/SKILL.md
Scanned
1 file, 795 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides FastAPI validation capabilities to AI agents. It allows for defining and enforcing data constraints, ensuring that incoming requests adhere to specific formats and rules. This enhances API security and reliability by preventing invalid data from being processed.

When to use it

  • API Endpoint Development: When building a new API endpoint where you need to validate request bodies or query parameters.
  • Data Sanitization: To automatically sanitize user input before processing, reducing the risk of injection attacks.
  • Input Validation in Backend Tasks: Validating data received from external sources before performing backend operations.
  • Enforcing Data Integrity: Guaranteeing that only valid and consistent data is stored or processed within your application.

Key capabilities

  • Data validation using Pydantic models.
  • Automatic request body parsing and validation.
  • Customizable error handling for validation failures.
  • Type checking and conversion of incoming data.

Example prompts

  • "Validate this JSON payload against the 'User' Pydantic model."
  • "Ensure that the 'email' field in the request is a valid email address."
  • "Generate a FastAPI endpoint with validation for a 'Product' model containing name and price fields."

Tips & gotchas

  • Requires familiarity with Pydantic models to define validation schemas.
  • The AI agent needs access to the relevant Pydantic models defined in your project.