Skip to content
TrustedSkillsbeta
Back to all skills

Fielding Rest

Checked
copyleftdev·vlatest·backend·Apache-2.0

Automatically pauses active agents to conserve resources during periods of low task demand.

Repository

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 copyleftdev/sk1llz --skill fielding-rest -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

copyleftdev

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 copyleftdev/sk1llz at 92361f525f.

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

Commit
92361f525f
Manifest
domains/api-design/fielding/SKILL.md
Scanned
1 file, 98 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 handle and respond appropriately to REST API requests. It can parse incoming request data, determine the correct action based on the HTTP method (GET, POST, PUT, DELETE), and formulate responses including status codes and relevant data. The agent is capable of understanding common RESTful principles for interacting with APIs.

When to use it

  • Automated Data Retrieval: When an AI needs to fetch information from a database or external service via a REST API (e.g., pulling product details from an e-commerce platform).
  • Process Automation: To trigger actions on remote systems by sending requests, such as creating new user accounts in a CRM.
  • Responding to Webhooks: When the AI agent needs to react to events pushed via RESTful webhooks (e.g., processing notifications from a payment gateway).
  • Building Simple APIs: To expose functionality through a basic REST API endpoint for other applications or services.

Key capabilities

  • HTTP Method Handling (GET, POST, PUT, DELETE)
  • Request Data Parsing
  • Response Formatting with Status Codes
  • RESTful Principles Understanding

Example prompts

  • "Respond to the incoming POST request at /users with the data {name: 'Alice', email: '[email protected]}."
  • "Send a GET request to https://api.example.com/products and return the JSON response."
  • "Handle the webhook notification received at /payment-status, extract the transaction ID, and log it."

Tips & gotchas

The agent's understanding of RESTful API design is dependent on clear instructions and well-defined request/response structures. Providing example requests and expected responses can significantly improve performance.