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Agent skill

Scaffolding Openai Agents

by aiskillstore in aiskillstore/marketplace

Builds AI agents using OpenAI Agents SDK with async/await patterns and multi-agent orchestration.

No licenceAuto-check passedAI & LLM Engineering

Install Scaffolding Openai Agents

skills CLI
$ npx skills add aiskillstore/marketplace --skill scaffolding-openai-agents -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aiskillstore/marketplace scaffolding-openai-agents --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/asmayaseen/scaffolding-openai-agents .claude/skills/scaffolding-openai-agents && rm -rf skills-src

Use ~/.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/

Facts

Skill name
scaffolding-openai-agents
GitHub stars
433
Token cost
~3.3k tokens
SKILL.md length
106 words
Files
3 (incl. scripts)
Skills in repo
1,044
Repo updated
First seen
Licence
None found

At a glance

Builds AI agents using OpenAI Agents SDK with async/await patterns and multi-agent orchestration.

  • Creating tutoring agents
  • SKILL.md covers Quick Start, Agent Configuration, Runner Patterns and Function Tools, plus 8 more sections
  • Runs Python scripts from its folder; calls python and pip; reaches wttr.in and docs.python.org; needs OPENAI_API_KEY
  • Building agent handoffs

What it does

Scaffolding Openai Agents is an agent skill from aiskillstore/marketplace. Builds AI agents using OpenAI Agents SDK with async/await patterns and multi-agent orchestration. Use when creating tutoring agents, building agent handoffs, implementing tool-calling agents, or orchestrating multiple specialists. Covers Agent class, Runner patterns, function tools, guardrails, and streaming responses. NOT when using raw OpenAI API without SDK or other agent frameworks like LangChain.

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/verify.py` and `skill-report.json`).

It sits in AI & LLM Engineering, covering Building AI agents, LLM API integration and Project scaffolding. It works with OpenAI, OpenAI Agents SDK and LangChain. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.

When your agent uses it

  • Creating tutoring agents
  • Building agent handoffs
  • Implementing tool-calling agents
  • Orchestrating multiple specialists

Example prompts

  • “Use the scaffolding-openai-agents skill to build AI agents using OpenAI Agents SDK with async/await patterns and multi-agent orchestration”
  • “/scaffolding-openai-agents”

Requirements

  • Python 3
  • A credential in OPENAI_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 44923f3. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip

    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:

    • wttr.in
    • docs.python.org

    Also links to:

    • platform.openai.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • OPENAI_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scaffolding Openai Agents loads about 3.3k tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 106 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 106 words (~3,259 tokens).

“Build production AI agents using OpenAI Agents SDK with native async/await patterns.”

— opening of SKILL.md by aiskillstore
name
scaffolding-openai-agents

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (scripts) in skills/asmayaseen/scaffolding-openai-agents of aiskillstore/marketplace.

  • SKILL.md
  • scripts/verify.py
  • skill-report.json

Open the folder on GitHubat commit 44923f3

Compare with similar skills

Scaffolding Openai Agents 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.

Scaffolding Openai Agents compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scaffolding Openai Agents this skillaiskillstore/marketplace433—~3.3kAutomated safety check: PassNone
Sap Cloud SDK AIsecondsky/sap-skills462—~3.2kAutomated safety check: PassGPL-3.0
Llmobs IntegrationDataDog/dd-trace-js837—~1.4kAutomated safety check: PassCustom licence
Building Multi Connector Agentairbytehq/airbyte-agent-sdk135—~1.7kAutomated safety check: NotesCustom licence
Tool Designagentailor/fullstack-langgraph-nextjs-agent132—~3.2kAutomated safety check: PassMIT
LangchainOrchestra-Research/AI-Research-SKILLs13k2 repos~3.2kAutomated safety check: PassMIT

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Works with

Categories

Questions about Scaffolding Openai Agents

What does Scaffolding Openai Agents do?

Builds AI agents using OpenAI Agents SDK with async/await patterns and multi-agent orchestration. Scaffolding Openai Agents is an agent skill from aiskillstore/marketplace. Builds AI agents using OpenAI Agents SDK with async/await patterns and multi-agent orchestration.

When should I use Scaffolding Openai Agents?

Scaffolding Openai Agents fits situations like: creating tutoring agents; building agent handoffs; implementing tool-calling agents; orchestrating multiple specialists.

How do I install Scaffolding Openai Agents in Claude Code?

Run `npx skills add aiskillstore/marketplace --skill scaffolding-openai-agents -a claude-code`. Or copy the skill folder (skills/asmayaseen/scaffolding-openai-agents in aiskillstore/marketplace) into .claude/skills/scaffolding-openai-agents in your project. Claude Code loads it when a task matches its description.

How do I install Scaffolding Openai Agents in Codex?

Run `npx skills add aiskillstore/marketplace --skill scaffolding-openai-agents -a codex`. Or copy the skill folder (skills/asmayaseen/scaffolding-openai-agents in aiskillstore/marketplace) into .agents/skills/scaffolding-openai-agents in your project. Codex loads it when a task matches its description.

Can I use Scaffolding Openai Agents 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 aiskillstore/marketplace --skill scaffolding-openai-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scaffolding-openai-agents, .gemini/skills/scaffolding-openai-agents, .github/skills/scaffolding-openai-agents and .opencode/skills/scaffolding-openai-agents in your project.

What does Scaffolding Openai Agents need to run?

Going by SKILL.md and its folder, Scaffolding Openai Agents needs Python for the scripts in its folder, the command-line tools its instructions call (python and pip) and credentials named OPENAI_API_KEY. Our summary lists: Python 3; A credential in OPENAI_API_KEY.

Does Scaffolding Openai Agents access the network?

SKILL.md names 3 domains. In commands or code: wttr.in and docs.python.org; the agent is likely to contact these when it follows the instructions. As links in the text: platform.openai.com. This is read from the text; nothing was executed.

Is Scaffolding Openai Agents 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Scaffolding Openai Agents use?

No licence was found for Scaffolding Openai Agents or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Scaffolding Openai Agents use?

About 3.3k tokens (SKILL.md is roughly 13k 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 Scaffolding Openai Agents?

Skills that share tags, products or a category with Scaffolding Openai Agents: Sap Cloud SDK AI (secondsky/sap-skills, 462 stars), Llmobs Integration (DataDog/dd-trace-js, 837 stars), Building Multi Connector Agent (airbytehq/airbyte-agent-sdk, 135 stars) and Tool Design (agentailor/fullstack-langgraph-nextjs-agent, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scaffolding Openai Agents?

aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 433 GitHub stars. The repository holds 1,044 skills in this directory. The repository was last updated on October 10, 2026.

Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.