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Custom Format Validators

Checked
zaggino·vlatest·utilities

Validates data against user-defined formats, ensuring consistency and accuracy across diverse datasets and 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 zaggino/z-schema --skill custom-format-validators -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

zaggino

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 zaggino/z-schema at e817043c95.

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

Commit
e817043c95
Manifest
skills/custom-format-validators/SKILL.md
Scanned
1 file, 198 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 enables AI agents to validate data against user-defined schemas using the z-schema library. It ensures input conforms to specific structural rules and formats before processing, preventing errors from malformed data.

When to use it

  • Validating complex JSON payloads that exceed standard built-in format checks.
  • Enforcing strict business logic constraints on incoming API requests.
  • Ensuring data integrity for downstream systems that require precise schema adherence.
  • Cleaning and sanitizing unstructured user inputs before storage or analysis.

Key capabilities

  • Integration with the z-schema library for robust validation.
  • Support for custom format definitions beyond standard types.
  • Ability to define complex object structures and nested rules.
  • Real-time error reporting for non-compliant data entries.

Example prompts

  • "Validate this JSON response against a schema requiring an 'email' field in RFC 5322 format."
  • "Check if the incoming user profile data matches our custom organization hierarchy schema."
  • "Run validation on this dataset to ensure all dates are ISO 8601 compliant and numeric fields are positive integers."

Tips & gotchas

Ensure your custom schema definitions are syntactically correct before attempting validation, as malformed schemas will cause the agent to fail immediately. This skill is best suited for structured data; unstructured text may require preprocessing before validation can occur effectively.