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test-tui

Guia para testar o Codex TUI interativamente.

O que é test-tui?

Esta skill fornece orientações detalhadas para desenvolvedores que precisam testar a interface TUI (Terminal User Interface) do Codex de forma interativa. Ela é útil para verificar alterações no código, depurar comportamentos ou validar fluxos de trabalho sem depender de testes automatizados completos. A skill é compatível com ambientes onde o Codex TUI pode ser iniciado a partir do terminal, utilizando o target `just codex`. Ela especifica configurações cruciais, como iniciar o processo interativamente, habilitar logs detalhados com `RUST_LOG="trace"`, redirecionar logs para um diretório temporário com `-c log_dir=<caminho>`, e uma técnica importante para envio programático de mensagens: enviar o texto primeiro, depois a tecla Enter separadamente, para evitar problemas de sincronização. O objetivo é garantir que os testes manuais ou semi-automatizados da TUI sejam executados de forma controlada e depurável.

Funciona com~Claude Code✓Codex CLI~Cursor

npx skills add https://github.com/openai/codex/tree/main/.codex/skills/test-tui

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Documentação

Você pode iniciar e usar o Codex TUI para verificar alterações.

Notas importantes:

Inicie interativamente.
Sempre defina RUST_LOG="trace" ao iniciar o processo.
Passe o argumento -c log_dir=<algum_diretorio_temp> para ter logs escritos em um diretório específico, ajudando na depuração.
Ao enviar uma mensagem de teste programaticamente, envie o texto primeiro e, em seguida, envie Enter em uma escrita separada (não envie texto + Enter em uma única rajada).
Use o target just codex para executar - just codex -c ...

Individual skills in this repo

This repo contains 19 individual skills — each has its own dedicated page.

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep watching open PRs so fresh review feedback is surfaced promptly. Use when the user asks Codex to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedback on an open PR.

code-review

Run a final code review on a pull request

code-review-change-size

Change size guidance (800 lines)

code-review-context

Model visible context

code-review-testing

Test authoring guidance

codex-bug

Diagnose GitHub bug reports in openai/codex. Use when given a GitHub issue URL from openai/codex and asked to decide next steps such as verifying against the repo, requesting more info, or explaining why it is not a bug; follow any additional user-provided instructions.

codex-issue-digest

Run a GitHub issue digest for openai/codex by feature-area labels, all areas, and configurable time windows. Use when asked to summarize recent Codex bug reports or enhancement requests, especially for owner-specific labels such as tui, exec, app, or similar areas.

codex-pr-body

Update the title and body of one or more pull requests.

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas.

openai/babysit-pr

openai-docs

Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.

openai/test-tui

Guide for testing Codex TUI interactively

path-types

Choose Rust types for operating system paths across the Codex repository. Use when defining new path-bearing types or explicitly migrating existing ones.

plugin-creator

Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, valid manifest defaults, and personal-marketplace entries by default. Use when Codex needs to create a new personal plugin, add optional plugin structure, generate or update marketplace entries for plugin ordering and availability metadata, or update an existing local plugin during development with the CLI-driven cachebuster and reinstall flow.

pushing-ci-changes

Pushing GitHub Actions changes, resolving push rejection, requesting upload exceptions.

remote-tests

Testing against remote executors in integration tests.

skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.

skill-installer

Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).

update-v8-version

Update Codex's pinned `v8` / `rusty_v8` versions, validate the release-candidate path, and investigate failed V8 canary or artifact builds. Use when asked to bump V8, update `rusty_v8` artifacts, prepare or validate a V8 release candidate, check `v8-canary`, or diagnose why a V8 version update no longer builds.

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