Initial commit: AirCoding V1.0.0 Alpha architecture baseline
Complete architecture document set with multi-model review remediation: - Frozen interface contracts, runtime semantics, DB schemas - Event/tool/error/provider registries - Scheduler and main agent state machines - C4 module/code views, solution architecture, baseline V1 - Multi-model review reports and joint assessment - Phase-gate remediation complete (P0/P1/P2/UX resolved) - Implementation plan with T-000A through T-045 - Reference folders kept as placeholders only
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reference/openai-codex/.codex/skills/remote-tests/SKILL.md
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reference/openai-codex/.codex/skills/remote-tests/SKILL.md
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name: remote-tests
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description: How to run tests using remote executor.
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---
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Some codex integration tests support a running against a remote executor.
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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.
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Docker container is built and initialized via ./scripts/test-remote-env.sh
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Currently running remote tests is only supported on Linux, so you need to use a devbox to run them
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You can list devboxes via `applied_devbox ls`, pick the one with `codex` in the name.
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Connect to devbox via `ssh <devbox_name>`.
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Reuse the same checkout of codex in `~/code/codex`. Reset files if needed. Multiple checkouts take longer to build and take up more space.
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Check whether the SHA and modified files are in sync between remote and local.
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