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Openai Responses

Listed
fefogarcia·vlatest·ai-ml

Generates creative, detailed, and contextually relevant text responses leveraging OpenAI's language models.

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 fefogarcia/approved-skills --skill openai-responses -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

fefogarcia

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: mcp.stripe.com.

    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.

    Hosts contacted

    mcp.stripe.comundeclaredapi.openai.commodel provider

    What it found (3 of 6)

    • skills/openai-responses/references/top-errors.md:87contacts mcp.stripe.com
      const testResponse = await fetch('https://mcp.stripe.com');
    • skills/openai-responses/templates/cloudflare-worker.ts:132contacts mcp.stripe.com
      server_url: 'https://mcp.stripe.com',
    • skills/openai-responses/templates/mcp-integration.ts:56contacts mcp.stripe.com
      server_url: 'https://mcp.stripe.com',

  • 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 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 fefogarcia/approved-skills at 2da55c784b.

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

Commit
2da55c784b
Manifest
skills/openai-responses/SKILL.md
Scanned
21 files, 4,178 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, fefogarcia-openai-responses, provides pre-defined responses for common OpenAI interactions. It allows AI agents to quickly and consistently respond to user prompts with tailored outputs. The skill is designed to streamline agent workflows by reducing the need for custom response generation in frequent scenarios.

When to use it

  • Customer Service Bots: Quickly answer frequently asked questions about product features or order status.
  • Onboarding Assistants: Provide consistent guidance and information during user onboarding processes.
  • Content Generation Tools: Generate boilerplate text or structured responses for various content types (e.g., social media posts, email drafts).
  • Educational Chatbots: Deliver pre-approved answers to common student inquiries about course material.

Key capabilities

  • Predefined response templates
  • Consistent output formatting
  • Streamlined agent workflows
  • Reduced custom response generation

Example prompts

  • "What is the status of my order?"
  • "How do I reset my password?"
  • "Generate a draft email for requesting feedback."

Tips & gotchas

The effectiveness of this skill depends on having well-defined and relevant pre-configured responses. Ensure that the response templates are regularly reviewed and updated to maintain accuracy and relevance.