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Scaffolding Openai Agents

Checked
mjunaidca·vlatest·ai-ml

Helps with scaffolding, OpenAI as part of building AI and machine learning applications workflows.

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 mjunaidca/mjs-agent-skills --skill scaffolding-openai-agents -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

mjunaidca

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 mjunaidca/mjs-agent-skills at b829650de9.

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

Commit
b829650de9
Manifest
.claude/skills/scaffolding-openai-agents/SKILL.md
Scanned
2 files, 550 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 provides a foundational structure for building OpenAI agent applications. It simplifies the setup process by generating boilerplate code and configurations, including environment variables and basic file structures. This scaffolding helps developers rapidly prototype and iterate on their AI agent projects without getting bogged down in initial project configuration.

When to use it

  • Starting a new OpenAI agent project: Use this skill when you're beginning a fresh development effort for an AI agent application.
  • Rapid prototyping: Quickly generate a basic project structure to experiment with different agent designs and functionalities.
  • Standardizing agent development: Enforce consistent project setup across multiple agents within your team or organization.

Key capabilities

  • Generates boilerplate code
  • Creates initial file structures for OpenAI agent projects
  • Sets up environment variables
  • Provides a foundational configuration

Example prompts

  • "Create a scaffolding for an OpenAI agent."
  • "Generate a basic project structure for my new AI assistant."
  • "Set up the initial files and configurations for an OpenAI agent application."

Tips & gotchas

  • This skill provides a starting point; you'll still need to customize the generated code and configuration to fit your specific needs.
  • Ensure you have the necessary dependencies (e.g., OpenAI Python library) installed before using this skill.