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Platform Backend

Checked
ravnhq·vlatest·backend

Automates complex backend tasks like data migration, API integration, and server management using Ravn's intelligent automation.

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 ravnhq/ai-toolkit --skill platform-backend -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

ravnhq

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 ravnhq/ai-toolkit at e6237ae66e.

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

Scanned
34 files, 2,040 lines
Copies in repo
2 — 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 provides access to backend functionalities of a platform. It allows AI agents to interact with and manage data, execute server-side logic, and perform actions that require administrative or privileged access within the system. The skill enables complex workflows beyond simple user interface interactions.

When to use it

  • Automating Data Updates: Automatically update product pricing in an e-commerce platform based on external market conditions.
  • Managing User Accounts: Create, modify, or delete user accounts and permissions within a system.
  • Running Scheduled Tasks: Trigger backend processes like report generation or data backups at specific times.
  • Integrating with APIs: Interact with internal APIs to retrieve information or perform actions not directly exposed through the front end.

Key capabilities

  • Backend Data Access
  • Server-Side Logic Execution
  • Administrative Privileges
  • API Interaction

Example prompts

  • "Create a new user account named 'John Doe' with administrator privileges."
  • "Update the price of product ID 12345 to $9.99."
  • "Run the daily sales report generation process."

Tips & gotchas

This skill requires appropriate authentication and authorization to function correctly. Ensure the AI agent has the necessary permissions before attempting any actions.