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Gemini Openai Api

Checked
project-n-e-k-o·vlatest·ai-ml·Apache-2.0

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 project-n-e-k-o/n.e.k.o --skill gemini-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

project-n-e-k-o

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 project-n-e-k-o/n.e.k.o at 4e45b30d1c.

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

Commit
4e45b30d1c
Manifest
.agent/skills/gemini-openai-api/SKILL.md
Scanned
1 file, 114 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 both Gemini and OpenAI's API services. It provides a unified interface for accessing these powerful language models, enabling tasks like generating text, translating languages, and answering questions using either Google’s or OpenAI’s models. This simplifies development by abstracting away the complexities of each individual API.

When to use it

  • Comparing Model Outputs: Quickly test and compare responses from Gemini and OpenAI for a given prompt to determine which model is best suited for a specific task.
  • Building Hybrid Applications: Combine functionalities from both platforms, using Gemini for certain tasks and OpenAI for others within the same workflow.
  • Rapid Prototyping: Experiment with different language models without needing separate integrations or API keys for each.
  • Cost Optimization: Choose between Gemini and OpenAI based on pricing and performance characteristics to minimize expenses.

Key capabilities

  • Accesses both Gemini and OpenAI APIs
  • Unified interface for interacting with multiple LLMs
  • Supports text generation, translation, and question answering
  • Allows selection of specific models within each platform

Example prompts

  • "Generate a short story about a robot using the OpenAI GPT-3.5 model."
  • "Translate 'Hello, world!' into French using Gemini Pro."
  • “Answer this question: What is the capital of France? Use whichever model performs best.”

Tips & gotchas

  • Requires valid API keys for both Google (Gemini) and OpenAI to function. Ensure these are properly configured within your AI agent's environment.