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Web Artifacts Builder

Checked
bejranonda·vlatest·frontend

Automatically generates reusable UI components from design specifications, streamlining frontend development workflows.

Repository

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 bejranonda/llm-autonomous-agent-plugin-for-claude --skill web-artifacts-builder -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

bejranonda

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 bejranonda/llm-autonomous-agent-plugin-for-claude at d7c47f644e.

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

Commit
d7c47f644e
Manifest
skills/web-artifacts-builder/SKILL.md
Scanned
1 file, 924 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

The web-artifacts-builder skill allows AI agents to construct web artifacts, likely referring to components or elements for a website. It appears designed to be used within an autonomous agent framework like Claude's. The specific functionality isn’t detailed beyond the ability to build these web artifacts.

When to use it

  • Generating basic HTML structures for landing pages.
  • Creating reusable UI components based on design specifications.
  • Automating the creation of simple website sections or modules.
  • Populating a website with content derived from other sources.

Key capabilities

  • Web artifact construction
  • Integration within an autonomous agent framework (e.g., Claude)

Example prompts

  • "Create a basic HTML structure for a contact form."
  • "Build a reusable button component with rounded corners and blue text."
  • "Generate the HTML for a product listing based on this data: [product data]."

Tips & gotchas

The skill is designed to be used within an autonomous agent environment. You may need to provide clear instructions and context for optimal results, as the specific capabilities are not fully described.