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Openai Docs Skill

Listed
yuanxiao0115·vlatest·ai-ml

Access and summarize OpenAI documentation, including API references, guides, and best practices, for developers.

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 yuanxiao0115/agent-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

yuanxiao0115

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 yuanxiao0115/agent-skills at c1c93f653a.

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

Commit
c1c93f653a
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

This skill allows AI agents to access and utilize information directly from OpenAI's official documentation. It can retrieve specific details about models, APIs, usage examples, and best practices for building applications with OpenAI’s tools. The agent can use this knowledge to answer questions, generate code snippets, or provide explanations related to the OpenAI platform.

When to use it

  • Troubleshooting API errors: An agent can consult the documentation to understand error messages and identify potential solutions.
  • Learning about new models: When a new OpenAI model is released, this skill enables agents to quickly learn its capabilities and limitations.
  • Generating code examples: Agents needing assistance with implementing specific OpenAI features (e.g., fine-tuning) can leverage the documentation for guidance.
  • Understanding rate limits & pricing: The agent can retrieve up-to-date information about API usage costs and restrictions.

Key capabilities

  • Access to OpenAI's official documentation content.
  • Ability to search and filter documentation based on keywords.
  • Retrieval of specific model details, API endpoints, and code examples.
  • Provides explanations for various OpenAI concepts and features.

Example prompts

  • "What are the differences between GPT-3.5 Turbo and GPT-4?"
  • "Show me an example of how to fine-tune a language model using the OpenAI API."
  • "Explain the rate limits for the Chat Completions endpoint."

Tips & gotchas

  • The accuracy of responses depends on the completeness and currency of the OpenAI documentation. Always verify critical information with official sources.