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Openai Responses

Listed
dodatech·vlatest·ai-ml

Generates human-quality text responses leveraging OpenAI's models, tailored for diverse applications and enhanced by dodatech expertise.

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

dodatech

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 dodatech/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, dodatech-openai-responses, provides a mechanism to enhance AI agent responses. It allows developers to leverage and integrate pre-approved OpenAI responses into their agents' workflows. The goal is to ensure consistent quality and adherence to specific guidelines when generating text with OpenAI models.

When to use it

  • Maintaining Brand Voice: Ensure all your agent’s responses align with a defined brand voice or tone.
  • Standardizing Responses: Provide consistent answers for frequently asked questions across different AI agents.
  • Compliance Requirements: Guarantee that generated content meets specific regulatory or legal requirements.
  • Reducing Hallucinations: Leverage pre-approved responses to mitigate the risk of inaccurate or fabricated information.

Key capabilities

  • Integration with OpenAI models
  • Pre-approved response library
  • Workflow enhancement for AI agents
  • Consistent quality and adherence to guidelines

Example prompts

  • "Use the approved response for 'What is your return policy?'"
  • "Generate a response about our new product, ensuring it aligns with the pre-approved messaging."
  • “Retrieve the standard greeting response.”

Tips & gotchas

The skill requires access to and configuration with an OpenAI API key. Ensure that the approved responses are regularly updated to reflect changes in policies or brand guidelines for optimal performance.