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Validating Json Data

Checked
zaggino·vlatest·backend

Helps with JSON, data as part of developing backend services and APIs 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 zaggino/z-schema --skill validating-json-data -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/validating-json-data/SKILL.md
Scanned
4 files, 654 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 leverages z-schema to programmatically validate JSON data against a specified schema definition. It ensures data integrity by checking structure, types, and constraints before processing or storing information within backend workflows.

When to use it

  • Before inserting user-submitted forms into a database to prevent malformed records.
  • During API integration to verify that incoming payloads match expected request formats.
  • In CI/CD pipelines to validate configuration files (e.g., YAML or JSON) before deployment.
  • When processing batch data imports to filter out invalid entries early in the pipeline.

Key capabilities

  • Validates JSON structures against defined schemas using z-schema.
  • Enforces strict type checking, required fields, and pattern matching.
  • Provides clear error reporting for non-compliant data.
  • Integrates seamlessly into Node.js-based backend environments.

Example prompts

  • "Validate this customer order JSON against our standard schema before saving to the database."
  • "Check if the incoming API payload conforms to the required user profile structure."
  • "Run a validation check on this configuration file using z-schema and report any missing fields."

Tips & gotchas

Ensure your schema definitions are accurate, as z-schema will strictly enforce them; minor deviations can cause valid data to fail. Always handle validation errors gracefully in your application logic to provide meaningful feedback to users or downstream systems.