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Openai Responses

Listed
jackspace·vlatest·ai-ml·MIT

Generate creative text formats like poems, code, scripts, musical pieces, email, letters, etc., using OpenAI's 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 jackspace/claudeskillz --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

jackspace

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

    • skills/openai-responses/SKILL.json:31contacts mcp.stripe.com
      "MCP Server Integration": "The Responses API has built-in support for **Model Context Protocol (MCP)** servers, allowing you to connect external tools.\r\n\r\n…

  • 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 jackspace/claudeskillz at aef4e299d1.

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

Commit
aef4e299d1
Manifest
skills/openai-responses/SKILL.md
Scanned
3 files, 1,583 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 allows AI agents to format responses in a way that mimics OpenAI's style. It provides structured output, including a distinct "Answer:" prefix and consistent formatting elements. This can be useful for creating more predictable and easily parsable agent outputs.

When to use it

  • Structured Data Extraction: When you need an AI agent to provide answers in a format that’s easy to extract programmatically (e.g., for ingestion into a database).
  • Consistent Output Style: To ensure your agents consistently present information with a recognizable and predictable style, aligning with OpenAI's conventions.
  • API Integration: When integrating AI agent responses with systems expecting a specific format like OpenAI’s API.
  • Reproducibility: To create more reproducible results from your AI agents by standardizing the output structure.

Key capabilities

  • Formats responses with an "Answer:" prefix.
  • Provides consistent formatting elements in outputs.
  • Mimics OpenAI's response style.

Example prompts

  • "What is the capital of France? Use the openai-responses skill."
  • "Explain photosynthesis, formatted as an OpenAI response."
  • "Summarize this article: [article text]. Ensure you use the openai-responses skill for output."

Tips & gotchas

  • The skill relies on the underlying AI model's ability to generate content. The formatting is applied after content generation.