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Openai Docs Skill

Listed
am-will·vlatest·ai-ml

Quickly retrieve answers and code examples from OpenAI's official documentation using this specialized search tool.

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 am-will/codex-skills --skill openai-docs-skill -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

am-will

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: developers.openai.com.

    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

    platform.openai.comdocumentationdevelopers.openai.comundeclared

    What it found

    • skills/openai-docs-skill/scripts/openai-docs-mcp.sh:4contacts developers.openai.com
      MCP_URL="${MCP_URL:-https://developers.openai.com/mcp}"
    • skills/openai-docs-skill/scripts/openai-docs-mcp.sh:20contacts developers.openai.com
      MCP_URL  Override the MCP endpoint (default: https://developers.openai.com/mcp)

  • 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 am-will/codex-skills at 9f954c3b63.

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

Commit
9f954c3b63
Manifest
skills/openai-docs-skill/SKILL.md
Scanned
2 files, 222 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 openai-docs-skill provides access to OpenAI's documentation and resources, enabling AI agents to retrieve detailed information about models, APIs, usage guidelines, and best practices directly from official sources. It is particularly useful for developers and researchers who need accurate, up-to-date technical details on integrating and using OpenAI services.

When to use it

  • You are developing an application that requires integration with OpenAI's API and need detailed documentation.
  • You want to understand the capabilities and limitations of specific models like GPT-3 or GPT-4.
  • You are troubleshooting issues related to OpenAI API usage and need official guidance.

Key capabilities

  • Access to OpenAI’s official documentation.
  • Retrieval of model specifications, API endpoints, and usage examples.
  • Ability to fetch updates on new features and best practices from OpenAI.

Example prompts

  • "How do I use the GPT-3 API for text completion?"
  • "What are the rate limits for the OpenAI API?"
  • "Can you provide an example of using the ChatGPT model with Python?"

Tips & gotchas

  • Ensure your AI agent has internet access to fetch documentation in real time.
  • Documentation may change over time, so verify information against the latest official sources when critical decisions depend on it.