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Bun Cloudflare Workers

Checked
secondsky·vlatest·cloud·MIT

Automate Cloudflare Worker deployments and management using SecondSky's AI, streamlining your edge computing 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 secondsky/claude-skills --skill bun-cloudflare-workers -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

secondsky

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 secondsky/claude-skills at 8837836131.

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

Scanned
1 file, 373 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

The bun-cloudflare-workers skill enables AI agents to deploy Bun-based applications directly to Cloudflare Workers. It streamlines the workflow by handling the build process and uploading code without requiring manual CLI interaction or complex environment setups.

When to use it

  • You need to rapidly prototype serverless functions using the Bun runtime on Cloudflare's edge network.
  • Your project relies on native Node.js APIs that are not yet fully supported in standard Workers environments.
  • You want to automate the deployment pipeline for microservices written in JavaScript or TypeScript with Bun.
  • You require a lightweight, zero-config method to get code running on the global Cloudflare edge.

Key capabilities

  • Deploys Bun applications directly to Cloudflare Workers infrastructure.
  • Executes build commands automatically before uploading artifacts.
  • Manages the full lifecycle of serverless function deployment via AI agent instructions.

Example prompts

  • "Deploy my existing Bun project to Cloudflare Workers using this skill."
  • "Build and upload a new API endpoint written in Bun to the edge network."
  • "Automate the deployment process for my microservice suite on Cloudflare."

Tips & gotchas

Ensure your codebase is compatible with the Bun runtime before initiating deployment, as specific Node.js features may behave differently. Verify that your project structure adheres to standard Bun conventions to avoid build failures during the automated upload.