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Openai Docs

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davila7·vlatest·ai-ml·MIT

Access and query OpenAI's official documentation directly through this davila7 agent for accurate API usage and model details.

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 davila7/claude-code-templates --skill openai-docs -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

davila7

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

    developers.openai.comundeclared

    What it found

    • cli-tool/components/skills/ai-research/openai-docs/agents/openai.yaml:14contacts developers.openai.com
      url: "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 davila7/claude-code-templates at 79182c51fb.

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

Scanned
3 files, 73 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 provides direct access to and querying capabilities for OpenAI's official developer documentation through a Model Context Protocol (MCP) server. It allows AI agents to retrieve accurate API usage information, model details, and guidance directly from developers.openai.com, prioritizing this source over general web searches for all OpenAI-related inquiries.

When to use it

  • When needing precise information about the Chat Completions API, Codex, or other OpenAI products like the Agents SDK.
  • To understand how to build ChatGPT apps using the Apps SDK and Responses API.
  • When troubleshooting issues related to OpenAI's Realtime API or gpt-oss models.
  • To find specific sections of documentation for a particular task or feature.

Key capabilities

  • mcp__openaiDeveloperDocs__search_openai_docs: Searches the OpenAI developer documentation for relevant pages.
  • mcp__openaiDeveloperDocs__fetch_openai_doc: Retrieves specific sections and accurately quotes/paraphrases content from the documentation.
  • mcp__openaiDeveloperDocs__list_openai_docs: Allows browsing or discovering documentation pages without a specific query.
  • Prioritizes OpenAI developer docs over web search for accuracy.

Example prompts

  • "How do I use the Chat Completions API?"
  • "What are the capabilities of the Codex model?"
  • "Show me the documentation on building ChatGPT apps with the Apps SDK."
  • “List available documents related to the Agents SDK.”

Tips & gotchas

  • The skill relies on a functioning MCP server (openaiDeveloperDocs). If unavailable, it will attempt installation automatically. If that fails, an escalated permission request will be made before user intervention is requested.
  • Always prioritize results from the MCP tools over web searches for OpenAI-related questions.
  • When answering, cite documentation sources and provide code snippets only when supported by the official docs.