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Schema Mechanism

Listed
simhacker·vlatest·database·MIT

Analyzes complex data structures and relationships to extract, organize, and generate schemas for efficient knowledge representation.

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 simhacker/moollm --skill schema-mechanism -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

simhacker

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 simhacker/moollm at 8f6d840b2f.

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

Scanned
0 files
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

The schema-mechanism skill allows AI agents to understand and interact with structured data using schemas. It enables agents to parse, validate, and generate data conforming to predefined formats like JSON Schema or Protobuf. This facilitates more reliable and predictable interactions with external systems and APIs.

When to use it

  • Data Validation: Ensure incoming data from a user or API adheres to specific rules and constraints before processing.
  • API Integration: Simplify communication with services that require structured requests and responses, such as GraphQL endpoints.
  • Document Generation: Automatically create documents (e.g., JSON files) based on defined schemas for reporting or configuration purposes.
  • Data Transformation: Convert data between different schema formats, enabling interoperability between systems.

Key capabilities

  • Schema parsing and validation
  • JSON Schema support
  • Protobuf support
  • Data generation according to schemas

Example prompts

  • "Validate this JSON against the provided schema: {...}."
  • "Generate a JSON object conforming to this schema: {...}."
  • "Convert this Protobuf message into a JSON representation."

Tips & gotchas

The agent needs access to the relevant schema definition (e.g., a JSON Schema file or Protobuf definition) for proper operation. Ensure the schemas are accurate and up-to-date, as errors in the schema can lead to unexpected behavior.