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Cloudflare Workers

Listed
tenequm·vlatest·cloud·MIT

Automate Cloudflare Workers deployment & management using tenequm's secure, scalable, and developer-friendly AI agent skill.

Repository

Install on your platform

This skill no longer installs under the name cloudflare-workers. SKILL.md is marked internal, so the skills CLI hides it.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-14. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

tenequm

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 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.cloudflare.com, http-intake.logs.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.cloudflare.comundeclaredhttp-intake.logs.datadoghq.comundeclared

    What it found (3 of 4)

    • archive/cloudflare-workers/references/observability.md:82contacts api.cloudflare.com
      curl -X POST https://api.cloudflare.com/client/v4/graphql \
    • archive/cloudflare-workers/references/observability.md:268contacts api.cloudflare.com
      const response = await fetch("https://api.cloudflare.com/client/v4/graphql", {
    • archive/cloudflare-workers/references/observability.md:424contacts http-intake.logs.datadoghq.com
      fetch("https://http-intake.logs.datadoghq.com/v1/input", {

  • 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 tenequm/claude-plugins at 6ef6b721ce.

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

Commit
6ef6b721ce
Manifest
archive/cloudflare-workers/SKILL.md
Scanned
7 files, 4,390 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 allows AI agents to interact with and execute Cloudflare Workers. It provides a way to deploy, manage, and trigger serverless functions on the Cloudflare platform directly from within an AI agent workflow. This enables automation of tasks like data processing, API integrations, and dynamic content generation.

When to use it

  • Automated Data Transformation: Transform raw data received from external APIs into a usable format for further analysis or display.
  • Dynamic Content Generation: Generate personalized website content or email campaigns based on user input or real-time data.
  • API Integration & Orchestration: Connect to and orchestrate multiple APIs through Cloudflare Workers, simplifying complex workflows.
  • Serverless Task Execution: Run small, independent tasks like image resizing or background processing without managing dedicated servers.

Key capabilities

  • Deploying Cloudflare Workers
  • Managing Worker configurations
  • Triggering Worker execution via API calls
  • Handling HTTP requests and responses within Workers
  • Integration with external APIs

Example prompts

  • "Deploy this JavaScript code as a Cloudflare Worker named 'greeting-worker'."
  • "Execute the 'image-resize' worker and pass it the URL of this image."
  • "Update the environment variables for my 'data-processor' worker to include API_KEY = 'your_api_key'."

Tips & gotchas

  • Requires a Cloudflare account with Workers enabled.
  • Familiarity with JavaScript is helpful for writing and debugging Worker code.