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Cloudflare Worker Builder

Listed
jezweb·vlatest·cloud·MIT

Automates Cloudflare Worker creation, deployment, and management from code, simplifying serverless functions on edge.

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 jezweb/claude-skills --skill cloudflare-worker-builder --full-depth -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

jezweb

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 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.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: api.datadoghq.com.

    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.

    Hosts contacted

    api.datadoghq.comundeclared

    What it found

    • archive/plugins/cloudflare/skills/cloudflare-worker-builder/references/deployment.md:708contacts api.datadoghq.com
      await fetch('https://api.datadoghq.com/api/v1/logs', {
  • 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 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 jezweb/claude-skills at 1260fa7439.

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

Scanned
11 files, 2,166 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 enables AI agents to programmatically build and deploy Cloudflare Workers, allowing for rapid serverless application development directly from code. It streamlines the workflow of creating worker scripts and pushing them to the Cloudflare network without manual CLI intervention.

When to use it

  • Automating the deployment of lightweight edge functions during a CI/CD pipeline.
  • Generating and instantiating new Workers based on dynamic configuration parameters provided by an agent.
  • Rapidly prototyping serverless logic for global content delivery or API routing.
  • Managing multiple Worker instances across different environments (e.g., staging vs. production) via script.

Key capabilities

  • Constructs Cloudflare Worker scripts programmatically.
  • Handles the deployment process directly to the Cloudflare platform.
  • Facilitates serverless function creation without requiring local environment setup for every iteration.

Example prompts

  • "Create a new Cloudflare Worker that caches API responses and deploy it to my account."
  • "Generate a worker script to handle image resizing at the edge and push it live immediately."
  • "Build a simple authentication middleware worker and deploy it using the cloudflare-worker-builder tool."

Tips & gotchas

Ensure your AI agent has the necessary permissions and API tokens configured to access your Cloudflare account before attempting deployment. This skill focuses on the build and deploy lifecycle; complex runtime configurations may still require manual verification in the dashboard.