openai-knowledge
This skill connects an agent to OpenAI's official API documentation through an MCP server, enabling retrieval of current, authoritative information about…
Identity proven by GitHub's verified organisation badge (openai)
- Agents
- Codex
- License
- MIT (permissive)
- Pin
- 125efa0pinned Oct 9, 2026
- Context cost
- about 370 tokenswhen the skill loads
- GitHub stars
- 29,916on openai/openai-agents-python
- Scripts
- None found
What it does
“Retrieve authoritative OpenAI API and platform documentation when an integration or claim needs current external evidence.”
Generated summary from the skill's own text
This skill connects an agent to OpenAI's official API documentation through an MCP server, enabling retrieval of current, authoritative information about OpenAI's platform and APIs. The agent searches and fetches exact documentation pages, endpoint schemas, and parameters to answer questions with verified facts instead of assumptions.
When to use it
- Verifying OpenAI API features, parameters, or capabilities
- Retrieving current endpoint schemas or field definitions
- Answering questions requiring authoritative OpenAI platform documentation
- Building integrations that need exact API specifications
When not to
- The openaiDeveloperDocs MCP server is not configured or unavailable
- Questions about general OpenAI news or company announcements
- When cached knowledge of OpenAI APIs is sufficient
Install
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add openai/openai-agents-python --skill openai-knowledgeInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install openai/openai-agents-python openai-knowledge@125efa029b4bfd84238bd2c4fd69c3406f802663Installs the commit we checked (125efa0).
Copy by hand
Download the folder at 125efa0 and put it in .claude/skills/openai-knowledge for Claude Code and in .agents/skills/openai-knowledge for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "openai-knowledge" by OpenAI. Source, pinned to commit 125efa029b4bfd84238bd2c4fd69c3406f802663: https://github.com/openai/openai-agents-python/tree/125efa029b4bfd84238bd2c4fd69c3406f802663/.agents/skills/openai-knowledge 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/openai-knowledge/ for Claude Code and .agents/skills/openai-knowledge/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Listing and checks: https://www.agentnative.dev/skills/openai/openai-knowledge-openai-agents-python
SKILL.md at the pin
---
name: openai-knowledge
description: Retrieve authoritative OpenAI API and platform documentation when an integration or claim needs current external evidence.
---
# OpenAI Knowledge
## Overview
Use the OpenAI Developer Documentation MCP server to search and fetch exact docs (markdown), then base your answer on that text instead of guessing.
## Workflow
### 1) Check whether the Docs MCP server is available
If the `mcp__openaiDeveloperDocs__*` tools are available, use them.
If you are unsure, run `codex mcp list` and check for `openaiDeveloperDocs`.
### 2) Use MCP tools to pull exact docs
- Search first, then fetch the specific page or pages.
- `mcp__openaiDeveloperDocs__search_openai_docs` → pick the best URL.
- `mcp__openaiDeveloperDocs__fetch_openai_doc` → retrieve the exact markdown (optionally with an `anchor`).
- When you need endpoint schemas or parameters, use:
- `mcp__openaiDeveloperDocs__get_openapi_spec`
- `mcp__openaiDeveloperDocs__list_api_endpoints`
Base your answer on the fetched text and quote or paraphrase it precisely. Do not invent flags, field names, defaults, or limits.
### 3) If MCP is not configured, guide setup (do not change config unless asked)
Provide one of these setup options, then ask the user to restart the Codex session so the tools load:
- CLI:
- `codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcp`
- Config file (`~/.codex/config.toml`):
- Add:
```toml
[mcp_servers.openaiDeveloperDocs]
url = "https://developers.openai.com/mcp"
```
Also point to: https://developers.openai.com/resources/docs-mcp#quickstart
From openai/openai-agents-python at 125efa0, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.
View SKILL.md on GitHub at 125efa0Files
- SKILL.md1.6 KB · 13d20498a52d
- agents/
- openai.yaml233 B · 79270a464997
2 files, 1.9 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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