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Openai Api

Listed
ovachiever·vlatest·ai-ml

Helps with OpenAI, API as part of building AI and machine learning applications workflows.

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 ovachiever/droid-tings --skill openai-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

ovachiever

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: upload.wikimedia.org.

    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.openai.commodel providerupload.wikimedia.orgundeclared

    What it found

    • skills/openai-api/templates/vision-gpt4o.ts:35contacts upload.wikimedia.org
      url: 'https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwal…

  • 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 ovachiever/droid-tings at 7acd12a754.

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

Commit
7acd12a754
Manifest
skills/openai-api/SKILL.md
Scanned
29 files, 8,353 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

The OpenAI API skill provides direct connectivity to the OpenAI platform, enabling AI agents to interact with their models and services programmatically. It serves as a foundational bridge for integrating advanced language capabilities into custom agent workflows without relying on third-party wrappers.

When to use it

  • Building custom AI applications that require specific model parameters or fine-tuned behaviors not available in standard libraries.
  • Creating agents that need to process large batches of data efficiently using OpenAI's optimized inference endpoints.
  • Developing multi-agent systems where different components require distinct access levels to the underlying model infrastructure.

Key capabilities

  • Direct API authentication and request handling for OpenAI services.
  • Flexible configuration for various OpenAI models and deployment options.
  • Programmatic access to core language processing functions via standard HTTP protocols.

Example prompts

  • "Connect to the OpenAI API using my provided key and generate a summary of the attached document."
  • "Configure the agent to use the GPT-4-turbo model for high-fidelity code generation tasks."
  • "Route this complex reasoning query directly through the OpenAI inference endpoint with custom temperature settings."

Tips & gotchas

Ensure you have a valid API key from the OpenAI platform before attempting to install or configure this skill, as it requires direct authentication. Be mindful of rate limits and usage quotas imposed by OpenAI, which may affect high-volume agent operations if not managed correctly.