Codex Agent Provider for NanoClaw
nanocoai/nanoclaw
Installs Codex as an agent provider for NanoClaw groups, with streaming, MCP tools, server-side history and vault-only credentials, next to or instead of Claude.
Retrieve authoritative OpenAI API and platform documentation when an integration or claim needs current external evidence.
Install Openai Knowledge
$ npx skills add openai/openai-agents-python --skill openai-knowledge -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openai/openai-agents-python openai-knowledge --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/openai/openai-agents-python.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/openai-knowledge .claude/skills/openai-knowledge && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "openai-knowledge" agent skill from https://github.com/openai/openai-agents-python/tree/main/.agents/skills/openai-knowledge into .claude/skills/openai-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-knowledge", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/openai/openai-agents-python/tree/main/.agents/skills/openai-knowledgeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add openai/openai-agents-python --skill openai-knowledge -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openai/openai-agents-python openai-knowledge --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openai/openai-agents-python.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/openai-knowledge .agents/skills/openai-knowledge && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "openai-knowledge" agent skill from https://github.com/openai/openai-agents-python/tree/main/.agents/skills/openai-knowledge into .agents/skills/openai-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-knowledge", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openai/openai-agents-python --skill openai-knowledge -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openai/openai-agents-python openai-knowledge --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openai/openai-agents-python.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/openai-knowledge .cursor/skills/openai-knowledge && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "openai-knowledge" agent skill from https://github.com/openai/openai-agents-python/tree/main/.agents/skills/openai-knowledge into .cursor/skills/openai-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-knowledge", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/openai/openai-agents-python.git --path .agents/skills/openai-knowledge--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add openai/openai-agents-python --skill openai-knowledge -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openai/openai-agents-python openai-knowledge --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openai/openai-agents-python.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/openai-knowledge .gemini/skills/openai-knowledge && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "openai-knowledge" agent skill from https://github.com/openai/openai-agents-python/tree/main/.agents/skills/openai-knowledge into .gemini/skills/openai-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-knowledge", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install openai/openai-agents-python openai-knowledgeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add openai/openai-agents-python --skill openai-knowledge -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openai/openai-agents-python.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/openai-knowledge .github/skills/openai-knowledge && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "openai-knowledge" agent skill from https://github.com/openai/openai-agents-python/tree/main/.agents/skills/openai-knowledge into .github/skills/openai-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-knowledge", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openai/openai-agents-python --skill openai-knowledge -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openai/openai-agents-python openai-knowledge --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openai/openai-agents-python.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/openai-knowledge .opencode/skills/openai-knowledge && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "openai-knowledge" agent skill from https://github.com/openai/openai-agents-python/tree/main/.agents/skills/openai-knowledge into .opencode/skills/openai-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai-knowledge", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
openai-knowledge- GitHub stars
- 30k
- Used in
- 1 other repo
- Token cost
- ~408 tokens
- SKILL.md length
- 172 words
- Files
- 2
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- MIT
At a glance
Retrieve authoritative OpenAI API and platform documentation when an integration or claim needs current external evidence.
- Works in 3 steps: Check whether the Docs MCP server is… → Use MCP tools to pull exact docs → If MCP is not configured, guide setup…
- Tasks that involve LLM API integration
- SKILL.md covers Overview and Workflow
- Calls codex; reaches developers.openai.com
What it does
Openai Knowledge is an agent skill from openai/openai-agents-python, published by the product's own GitHub organization. Retrieve authoritative OpenAI API and platform documentation when an integration or claim needs current external evidence.
Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in AI & LLM Engineering, covering LLM API integration and MCP servers. It works with OpenAI and Model Context Protocol. The repository describes itself as: A lightweight, powerful framework for multi-agent workflows. The licence is MIT.
When your agent uses it
- Tasks that involve LLM API integration
- Tasks that involve MCP servers
Example prompts
- “/openai-knowledge”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 71c2da4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
codex
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
developers.openai.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Openai Knowledge loads about 408 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 172 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from openai/openai-agents-python at commit 71c2da4, republished under its MIT licence (© openai). 172 words, ~408 tokens.
Download SKILL.mdSave it as
.claude/skills/openai-knowledge/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- 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 ananchor).
- When you need endpoint schemas or parameters, use:
mcp__openaiDeveloperDocs__get_openapi_specmcp__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"
- Add:
Also point to: https://developers.openai.com/resources/docs-mcp#quickstart
© openai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in .agents/skills/openai-knowledge of openai/openai-agents-python.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit 71c2da4
Used in 2 other repositories
We found 6 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in openai/openai-agents-python, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Openai Knowledge next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Openai Knowledge this skillopenai/openai-agents-python | 30k | 1 repos | ~408 | Automated safety check: Pass | MIT | |
| Codex Agent Provider for NanoClawnanocoai/nanoclaw | 31k | — | ~2.3k | Automated safety check: Notes | MIT | |
| Openai Docs Skillaiskillstore/marketplace | 430 | 2 repos | ~517 | Automated safety check: Pass | None | |
| Atomic Chat MCP Tool for NanoClawnanocoai/nanoclaw | 31k | — | ~2.6k | Automated safety check: Notes | MIT | |
| Auto Review Loop LLMAI4Scientist/nano-scientist | 128 | 4 repos | ~1.8k | Automated safety check: Warn | None | |
| Openai Docsaafqaq/codex-lb-enhanced | 102 | 3 repos | ~861 | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Openai Knowledge
What does Openai Knowledge do?
Retrieve authoritative OpenAI API and platform documentation when an integration or claim needs current external evidence. Openai Knowledge is an agent skill from openai/openai-agents-python, published by the product's own GitHub organization. Retrieve authoritative OpenAI API and platform documentation when an integration or claim needs current external evidence.
When should I use Openai Knowledge?
Openai Knowledge fits situations like: tasks that involve LLM API integration; tasks that involve MCP servers.
How do I install Openai Knowledge in Claude Code?
Run `npx skills add openai/openai-agents-python --skill openai-knowledge -a claude-code`. Or copy the skill folder (.agents/skills/openai-knowledge in openai/openai-agents-python) into .claude/skills/openai-knowledge in your project. Claude Code loads it when a task matches its description.
How do I install Openai Knowledge in Codex?
Run `npx skills add openai/openai-agents-python --skill openai-knowledge -a codex`. Or copy the skill folder (.agents/skills/openai-knowledge in openai/openai-agents-python) into .agents/skills/openai-knowledge in your project. Codex loads it when a task matches its description.
Can I use Openai Knowledge in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openai/openai-agents-python --skill openai-knowledge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openai-knowledge, .gemini/skills/openai-knowledge, .github/skills/openai-knowledge and .opencode/skills/openai-knowledge in your project.
What does Openai Knowledge need to run?
Going by SKILL.md and its folder, Openai Knowledge needs the command-line tools its instructions call (codex).
Does Openai Knowledge access the network?
SKILL.md names 1 domain. In commands or code: developers.openai.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Openai Knowledge safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Openai Knowledge use?
Openai Knowledge is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Openai Knowledge use?
About 408 tokens (SKILL.md is roughly 1.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Openai Knowledge?
Skills that share tags, products or a category with Openai Knowledge: Codex Agent Provider for NanoClaw (nanocoai/nanoclaw, 31k stars), Openai Docs Skill (aiskillstore/marketplace, 430 stars), Atomic Chat MCP Tool for NanoClaw (nanocoai/nanoclaw, 31k stars) and Auto Review Loop LLM (AI4Scientist/nano-scientist, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Openai Knowledge?
openai (a GitHub organization, an official publisher) maintains it in openai/openai-agents-python, which has 29,873 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 7, 2026.
Source: openai/openai-agents-python on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.