Examples Auto Run
Automatically executes and analyzes OpenAI example code snippets to demonstrate functionality and troubleshoot issues.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add openai-examples-auto-run npx -- -y @trustedskills/openai-examples-auto-run
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"openai-examples-auto-run": {
"command": "npx",
"args": [
"-y",
"@trustedskills/openai-examples-auto-run"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill automatically executes example code snippets provided by OpenAI to demonstrate agent capabilities. It streamlines the testing and validation of new features by running pre-configured scenarios directly within your environment.
When to use it
- You need to quickly verify that a specific OpenAI agent feature works as intended in your setup.
- You are learning how to implement complex agent behaviors using official reference implementations.
- You want to generate reproducible test cases for debugging agent logic without writing custom scripts.
- You require immediate visual or functional feedback on code changes related to the
openai-agents-jslibrary.
Key capabilities
- Automatically discovers and installs relevant example configurations from the OpenAI repository.
- Executes predefined agent workflows to showcase real-world usage patterns.
- Provides a sandboxed environment for testing
openai-agents-jsfunctionality. - Facilitates rapid iteration by linking code examples directly to execution results.
Example prompts
- "Run the latest example demonstrating how an AI agent handles multi-step reasoning tasks."
- "Execute the sample code that shows how to integrate tool use with an OpenAI agent."
- "Start the auto-run process for the basic agent initialization example to verify my setup."
Tips & gotchas
Ensure your environment has the necessary dependencies installed before triggering the auto-run feature, as it relies on the openai-agents-js package. Limit execution to official examples only to avoid running unverified code in production environments.
Tags
TrustedSkills Verification
Unlike other registries that point to live repositories, TrustedSkills pins every skill to a verified commit hash. This protects you from malicious updates — what you install today is exactly what was reviewed and verified.
Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🏢 Official
Published by the company or team that built the technology.