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Convex Schema Validators

Checked
fluid-tools·vlatest·backend·MIT

Validates data against complex, user-defined convex schema constraints to ensure accuracy and compliance.

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 op0ai/claude-skills --skill convex-schema-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

fluid-tools

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 fluid-tools/claude-skills at 4d09914bf5.

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

Commit
4d09914bf5
Manifest
skills/convex-schema-validators/SKILL.md
Scanned
3 files, 2,030 lines
Copies in repo
3 — all of them scanned
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 validates data against Convex schema definitions. It can check if provided data conforms to a specified schema, identify errors or inconsistencies, and provide detailed reports about the validation results. This ensures data integrity and helps prevent issues arising from incorrect data structures.

When to use it

  • Data Entry Validation: Verify user input in forms against predefined data types and constraints before saving to a database.
  • API Request Verification: Validate incoming requests to an API endpoint to ensure they contain the expected data structure and format.
  • Configuration File Parsing: Confirm that configuration files adhere to their defined schema, preventing parsing errors or unexpected behavior.
  • Data Migration Checks: Validate migrated data against a new schema to identify potential inconsistencies or transformation issues.

Key capabilities

  • Schema validation
  • Error reporting
  • Convex schema support

Example prompts

  • "Validate this JSON data: { "name": "John Doe", "age": 30 } against the schema {'name': 'string', 'age': 'number'}."
  • "Check if this data is valid according to my Convex schema: [data string]"
  • "Can you validate this configuration file and tell me what errors it contains?"

Tips & gotchas

  • Requires a clear and accurate Convex schema definition for validation. Incorrect schemas will lead to inaccurate results.