Schema Mechanism
ListedAnalyzes 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
Run this in your project
terminal$ npx skills add simhacker/moollm --skill schema-mechanism -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.
- Commit
- 8f6d840b2f
- Manifest
- skills/schema-mechanism/SKILL.md
- Scanned
- 0 files
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.