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Typebox Schemas

Checked
janisto·vlatest·backend·MIT

Defines structured data types (schemas) for Typebox, improving data validation and code clarity – essential for robust applications.

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 janisto/fastify-playground --skill typebox-schemas -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

janisto

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 janisto/fastify-playground at 2d39b13772.

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

Commit
2d39b13772
Manifest
.agents/skills/typebox-schemas/SKILL.md
Scanned
2 files, 34 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 allows AI agents to work with TypeBox schemas. It enables validation of data against these schemas, generation of TypeScript types from them, and creation of JSON schema representations. This is particularly useful for ensuring data consistency and generating code based on defined structures.

When to use it

  • Data Validation: You need to ensure incoming data conforms to a specific structure before processing it further (e.g., validating user input or API requests).
  • TypeScript Type Generation: You want to automatically generate TypeScript types from your schema definitions for improved code safety and maintainability.
  • JSON Schema Creation: You require a JSON Schema representation of your TypeBox schemas for compatibility with other tools and systems.

Key capabilities

  • Data validation against TypeBox schemas.
  • TypeScript type generation from TypeBox schemas.
  • Generation of JSON schema representations from TypeBox schemas.

Example prompts

  • "Validate this data: { "name": "John Doe", "age": 30 } against the schema Typebox({string: 'name', number: 'age'})."
  • "Generate TypeScript types for the schema Typebox({email: string, password: string})."
  • “Create a JSON Schema from this TypeBox definition: Typebox({id: number, title: string}).”

Tips & gotchas

The skill requires familiarity with TypeBox schemas. Ensure your AI agent has access to the schema definitions before attempting validation or type generation.