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Restapi

Checked
lobbi-docs·vlatest·backend·MIT

Restapi generates REST API documentation from OpenAPI specifications, streamlining development and ensuring accurate API definitions.

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 thelobbi/claude --skill restapi -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

lobbi-docs

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 lobbi-docs/claude at 1f04f9b061.

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

Commit
1f04f9b061
Manifest
.claude/skills/rest-api/SKILL.md
Scanned
1 file, 250 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 REST APIs. It can retrieve data from endpoints, send requests with various methods (GET, POST, etc.), and parse responses in JSON format. The agent can then use this information for a variety of tasks, such as gathering current weather conditions or submitting data to external services.

When to use it

  • Data Retrieval: Fetch product prices from an e-commerce API to compare deals.
  • Service Integration: Automate posting updates to a social media platform via its API.
  • System Monitoring: Retrieve server status information from a monitoring API and alert on errors.
  • Workflow Automation: Trigger actions in other applications by sending requests to their APIs.

Key capabilities

  • REST API interaction
  • JSON response parsing
  • Support for GET, POST methods (and potentially others)
  • Data retrieval from endpoints

Example prompts

  • "Get the current weather conditions for London using the OpenWeatherMap API."
  • "Post this customer data to the CRM API endpoint: {customer_data}"
  • "Retrieve product prices from the Amazon API for these ASINs: B01N2XG9D4, B07FZ8S73R"

Tips & gotchas

The agent will require proper authentication credentials (API keys or tokens) to access many APIs. Ensure these are securely provided and managed within the AI agent's environment.