Skip to content
TrustedSkillsbeta
Back to all skills

Cloudflare Worker Dev

Listed
erichowens·vlatest·cloud·MIT

Deploy, test, and debug Cloudflare Workers code directly from your environment using this powerful erichowens tool.

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 curiositech/some_claude_skills --skill cloudflare-worker-dev -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

erichowens

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: slow-api.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

    slow-api.comundeclared

    What it found

    • .claude/skills/cloudflare-worker-dev/SKILL.md:513contacts slow-api.com
      const data = await fetch('https://slow-api.com/data');
    • .claude/skills/cloudflare-worker-dev/SKILL.md:519contacts slow-api.com
      const data = await fetch('https://slow-api.com/data', {
  • 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 erichowens/some_claude_skills at 6713fc7a64.

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

Scanned
1 file, 503 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 develop, deploy, and manage Cloudflare Workers directly within the agent's environment. It streamlines the workflow for creating edge-based applications by handling the complexities of the Workers runtime and deployment pipelines.

When to use it

  • Deploying serverless functions that need to run at the network edge for low latency.
  • Automating the creation of custom API routes or middleware logic on Cloudflare's infrastructure.
  • Managing environment variables, secrets, and bindings for production-ready worker applications.
  • Iterating rapidly on code changes without manual CLI intervention for deployment steps.

Key capabilities

  • Direct interaction with the Cloudflare Workers runtime environment.
  • Automated build and deployment processes for Worker scripts.
  • Configuration management for KV namespaces, D1 databases, and R2 storage bindings.
  • Handling of environment-specific settings via worker secrets and variables.

Example prompts

  • "Create a Cloudflare Worker that caches API responses from an external service using KV."
  • "Deploy a new version of my edge function with updated CORS headers and custom domain routing."
  • "Set up a Worker to handle authentication requests by validating tokens against a specific header format."

Tips & gotchas

Ensure your AI agent has the necessary permissions to access Cloudflare API credentials before attempting deployment. Complex logic requiring heavy CPU processing may not be suitable for the Workers runtime due to execution time limits.