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docs(testing): agent-driven TUI replay flow with 30-command cohort run
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name: tui-replay
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description: Drive a background pi TUI session (pty) through the ai-bash-judge permission replay cohort — start interactive pi with bg_start, send prompts/confirmations with bg_send, pair permission-review log rows by requestId, analyze fixed time windows. Use when asked to test/replay/validate the ai-bash-judge pipe, collect shadow cohort rows, or run the 30-command TUI test flow in this repo.
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---
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# TUI replay for ai-bash-judge
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The authoritative protocol lives in this repo:
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**`docs/testing/tui-replay.md`** — read it fully before operating. It
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defines preconditions (cwd, chain config, timeout cohort), the
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bg_start/bg_send control protocol (text and `<Enter>` are separate
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sends; `y`×2 approve, `r`×2 + reason + `<Enter>` deny), the
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per-command wait/blind-deny ordering, the round procedure with
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`--after/--before` windows, the 30-command scenario matrix, pass
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criteria (pipe health, not verdict agreement), and the known-pitfalls
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list (sandbox EBUSY stubs, `jj squash` editor hang, agent-layer
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rewrites, session-rule pollution).
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Summary of the loop:
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1. Precondition check: TUI cwd = repo root (project override wires the
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judge chain); judge config timeout cohort set.
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2. `date -u` round start → fresh TUI via `bg_start` (pty=true) →
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commands one prompt at a time → answer dialogs per doc §3
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(destructive scenarios: blind deny **before** reading the judge row).
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3. Quit → `date -u` round end → analyzer CLI on the fixed window →
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archive report under `docs/testing/rounds/`.
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4. Gate = join completeness + analyzer-clean + no unexpected infra
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failures + no evidence leaks (doc §7).
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