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Workers Runtime Apis

Listed
secondsky·vlatest·backend·MIT

Workers Runtime APIs enables seamless integration of your applications with external services and workflows for dynamic data processing.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it cloudflare-workers-runtime-apis, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add secondsky/claude-skills --skill cloudflare-workers-runtime-apis -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 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.cloudflare.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.comundeclared

    What it found

    • plugins/cloudflare-workers/skills/cloudflare-workers-runtime-apis/references/cache-api.md:238contacts api.cloudflare.com
      await fetch(`https://api.cloudflare.com/client/v4/zones/${zoneId}/purge_cache`, {

  • 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 secondsky/claude-skills at 8837836131.

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

Commit
8837836131
Manifest
plugins/cloudflare-workers/skills/cloudflare-workers-runtime-apis/SKILL.md
Scanned
11 files, 3,733 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 provides access to the Workers Runtime APIs, enabling AI agents to interact directly with edge computing environments. It allows for the execution of lightweight code and management of distributed tasks within a serverless architecture.

When to use it

  • Deploying low-latency functions that require processing data at the network edge.
  • Managing stateful operations across multiple distributed worker instances.
  • Executing background jobs or scheduled tasks without provisioning traditional servers.
  • Integrating with existing cloud infrastructure to extend agent capabilities globally.

Key capabilities

  • Direct interaction with Workers Runtime API endpoints.
  • Execution of code within a serverless edge environment.
  • Management of distributed task queues and worker pools.
  • Handling asynchronous operations for non-blocking performance.

Example prompts

  • "Deploy a new function to the edge using the workers-runtime-apis."
  • "List all active workers currently running in the runtime environment."
  • "Trigger an asynchronous job queue via the Workers Runtime API."

Tips & gotchas

Ensure your AI agent has the necessary permissions and authentication tokens required to access the Workers Runtime. Be aware that this skill is designed for edge environments, so latency expectations differ from standard cloud-based execution models.