Best use case
test-tui is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Guide for testing Codex TUI interactively
Teams using test-tui should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/test-tui/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How test-tui Compares
| Feature / Agent | test-tui | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Guide for testing Codex TUI interactively
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
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 ...`
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