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Platform Frontend

Checked
ravnhq·vlatest·frontend

Automates repetitive frontend tasks like component generation, testing, and deployment using customizable templates and workflows.

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-frontend -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
16 files, 976 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 a pre-built frontend platform. It allows AI agents to quickly deploy and interact with user interfaces, streamlining development workflows. The platform handles common UI components and infrastructure concerns, enabling focus on application logic.

When to use it

  • Rapid prototyping: Quickly build and test UI ideas without writing extensive frontend code.
  • Internal tools: Create custom dashboards or management interfaces for internal teams.
  • Simple web applications: Develop basic web apps with minimal setup and configuration.
  • Integrating AI features into a UI: Easily display AI-generated content or allow users to interact with AI models through a visual interface.

Key capabilities

  • Pre-built UI components
  • Simplified deployment process
  • Handles underlying infrastructure concerns
  • Rapid development workflow

Example prompts

  • "Create a simple form for collecting user feedback."
  • "Build a dashboard to display key metrics from the database."
  • "Generate a webpage showing the results of my latest AI analysis."

Tips & gotchas

The skill assumes some familiarity with basic web development concepts. While it simplifies deployment, understanding frontend principles will help you customize and extend the platform effectively.