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Backend Models

Checked
coreyja·vlatest·backend·Apache-2.0

Access and query Coreyja's backend models to retrieve data, generate reports, or perform complex calculations.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Backend Models, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add coreyja/coreyja.com --skill "Backend Models" -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

coreyja

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 coreyja/coreyja.com at a6bb47b912.

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

Commit
a6bb47b912
Manifest
.claude/skills/backend-models/SKILL.md
Scanned
1 file, 27 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 allows AI agents to interact with and manage backend models, likely involving data retrieval, processing, or model execution. It facilitates tasks that require accessing and utilizing external data sources or pre-trained machine learning models. The precise functionality depends on the specific implementation of the backend models themselves.

When to use it

  • Data Analysis: Retrieve and analyze data from a database for reporting or trend identification.
  • Model Inference: Execute a trained machine learning model with new input data to generate predictions.
  • Automated Workflows: Integrate model outputs into automated processes, such as generating personalized content based on user profiles stored in the backend.
  • Content Generation: Fetch information from a knowledge base to inform creative writing or other content generation tasks.

Key capabilities

  • Backend Model Interaction
  • Data Retrieval
  • Model Execution
  • Workflow Integration

Example prompts

  • "Retrieve customer order data for the last quarter."
  • "Run sentiment analysis on this text using the 'sentiment-analyzer' model."
  • "Generate a product description based on these specifications and available inventory information."
  • “What are the top 5 performing products?”

Tips & gotchas

The effectiveness of this skill depends heavily on the quality and accessibility of the backend models. Ensure proper authentication and authorization protocols are in place when accessing sensitive data or models.