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test-tui
Guide for testing Codex TUI interactively
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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Guide for testing Codex TUI interactively
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | test-tui |
| description | Guide for testing Codex TUI interactively |
You can start and use Codex TUI to verify changes.
Important notes:
Start interactively.
Always set RUST_LOG="trace" when starting the process.
Pass -c log_dir=<some_temp_dir> argument to have logs written to a specific directory to help with debugging.
When sending a test message programmatically, send text first, then send Enter in a separate write (do not send text + Enter in one burst).
Use just codex target to run - just codex -c ...
Run a final code review on a pull request
Testing against remote executors in integration tests.
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).
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.
Choose Rust types for operating system paths across the Codex repository. Use when defining new path-bearing types or explicitly migrating existing ones.
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.