You can start and use Codex TUI to verify changes.
Works with
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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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontest-tuiExecute the skills CLI command in your project's root directory to begin installation:
Fetches test-tui from openai/codex and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate test-tui. Access via /test-tui in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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GitHub stars
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Run in your terminal
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stars
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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sickn33/antigravity-awesome-skills
Useful defaults in test-tui — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
test-tui has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added test-tui from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
test-tui reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for test-tui matched our evaluation — installs cleanly and behaves as described in the markdown.
We added test-tui from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: test-tui is focused, and the summary matches what you get after install.
Useful defaults in test-tui — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
test-tui fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
test-tui has been reliable in day-to-day use. Documentation quality is above average for community skills.
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