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Letzai Api

Listed
letz-ai·vlatest·ai-ml·MIT

Provides API guidance and assistance for building AI and machine learning applications.

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 letz-ai/letzai-skill --skill letzai-api -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

letz-ai

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.letz.ai.

    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.letz.aiundeclared

    What it found (3 of 12)

    • examples/image_generation.js:10contacts api.letz.ai
      const API_BASE_URL = 'https://api.letz.ai';
    • examples/polling_pattern.md:191contacts api.letz.ai
      const response = await fetch(`https://api.letz.ai/${endpoint}/${jobId}`, {
    • examples/polling_pattern.md:210contacts api.letz.ai
      const response = await fetch(`https://api.letz.ai/${endpoint}/${jobId}`, {

  • 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 letz-ai/letzai-skill at 6b108a4a6d.

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

Commit
6b108a4a6d
Manifest
SKILL.md
Scanned
8 files, 2,489 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

The letzai-api skill provides integration capabilities with AI agent systems, enabling seamless communication and interaction between agents and external services or APIs. It allows for the execution of predefined actions, retrieval of data from third-party sources, and orchestration of workflows within an AI-driven environment.

When to use it

  • To connect AI agents with backend services like databases or authentication systems.
  • When building multi-agent systems that require inter-agent communication through API calls.
  • For automating repetitive tasks by leveraging external APIs in a structured way.

Key capabilities

  • Integration with third-party APIs for data retrieval and action execution.
  • Support for secure, authenticated requests using tokens or credentials.
  • Ability to define custom endpoints and handle request/response formats.

Example prompts

  • "Call the user authentication API to verify login credentials."
  • "Fetch weather data from an external service and relay it back to the agent."
  • "Set up a webhook endpoint for receiving notifications from another system."

Tips & gotchas

Ensure that all API keys and secrets are securely stored and not exposed in prompts or logs. Some APIs may require rate limiting or specific headers, so always check documentation before use.