with one click
remote-tests
How to run tests using remote executor.
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.
Menu
How to run tests using remote executor.
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 | remote-tests |
| description | How to run tests using remote executor. |
Some codex integration tests support a running against a remote executor. This means that when CODEX_TEST_REMOTE_ENV environment variable is set they will attempt to start an executor process in a docker container CODEX_TEST_REMOTE_ENV points to and use it in tests.
Docker container is built and initialized via ./scripts/test-remote-env.sh
Currently running remote tests is only supported on Linux, so you need to use a devbox to run them
You can list devboxes via applied_devbox ls, pick the one with codex in the name.
Connect to devbox via ssh <devbox_name>.
Reuse the same checkout of codex in ~/code/codex. Reset files if needed. Multiple checkouts take longer to build and take up more space.
Check whether the SHA and modified files are in sync between remote and local.
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.
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; prioritize OpenAI docs MCP tools, use bundled references only as helper context, and restrict any fallback browsing to official OpenAI domains.
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.
Run a final code review on a pull request
Update the title and body of one or more pull requests.
INTERNAL SUBAGENT SKILL — never invoke directly. Spawned by $paper-discovery to search, deduplicate, cluster, and rank papers for a research topic.