Build ChatGPT App Skill

Publisher: Openai Developers plugin in openai/plugins · Editorial profile by AI Tools Ratings · Review method

What task is this skill designed for?

Define the user task and tool boundaries before generating UI. Separate read operations from writes so interface actions and server annotations describe what the implementation actually does.

What input and output should you expect?

Input: User flows, existing server code, preferred language, widget framework and a list of external actions. Specify whether the result is a private prototype or intended for review.

Output: A scaffold or focused diff covering server tools, widget resources, metadata and a validation plan, with assumptions called out for review.

What does it need to run?

A compatible coding client, current OpenAI documentation access and the language tooling required by the chosen MCP example. Authentication and hosting are additional integration work.

Published in the OpenAI Codex plugins repository. Compatibility evidence is the plugin package and its source instructions; this is not a claim of identical behavior in other agent clients.

How should you approach installation?

1. Open the pinned source and review the complete skill folder, including referenced helpers and license, before enabling it.
2. Use the corresponding plugin in a compatible Codex environment; preserve the skill folder structure rather than copying only SKILL.md. Confirm current plugin availability in your client.
3. Start with a disposable project and the trial prompt below. Grant only the stated access, inspect the proposed diff, and require separate approval for remote writes or publishing.

Installation guide: discovery, dependencies and runtime checks

What files, accounts or data can it access?

Local files may be modified. Running the app can expose an MCP endpoint and send tool data to connected services; restrict the initial prototype to synthetic data and local review.

What does the skill cost?

The skill license does not include hosting, model API use or a coding-client subscription. App operation and connected third-party services may have separate fees.

What are its limits and alternatives?

A scaffold is not a reviewed or approved app. CSP, authentication, schemas and deployment settings must fit the real service; copied examples do not prove production readiness.

Use ChatGPT App Submission after implementation exists; it prepares review material rather than building the app.

What could you ask in a small trial?

Try this with a small sample:

Plan a read-only inventory lookup app using synthetic stock records. Define tools and widget states, then propose a minimal scaffold grounded in current official docs. Do not deploy or submit the app.

How would you verify the result?

1. Tool annotations match implementation side effects.
2. No secrets are embedded in widget resources.
3. Empty, error and unauthorized states are specified.
4. The scaffold includes a concrete local validation procedure.

Use a baseline and record acceptance evidence before treating a successful task as a reliable workflow.

Which source and license were checked?

Read the reviewed SKILL.md at its pinned commit · Complete reviewed folder

Repository and current publisher guidance

Checked: 2026-10-30

Apache-2.0 License evidence

Report an error, license concern or request a new review.