Restore archived tasks, fix dashboard scroll-reset, bind ornith, add Playwright smoke test
- **Restore 82 completed tasks** from tasks/complete/ back to tasks/ top level (all <7 days old per the cleanup policy; premature bulk archive was fixed). - **Dashboard: fix scroll-reset on auto-refresh** — renderBoard rebuilds the board via innerHTML every 2s, destroying each column-body's scrollTop. Now snapshots column-body scrollTop + board.scrollLeft + view.scrollTop before rebuild and restores after (matched by PHASE_GROUPS index). - **Dashboard UI additions** (pre-existing unstaged work): approval section cards, transition buttons, inline artifact editor (textarea for writing missing SPEC/VERDICT/etc from the detail modal). - **Bind ornith as Implement model** — config.md: Model explicit to omlx/Ornith-1.0-35B-4bit-mlx, context window 32768. Interactive autopilot already used ornith via opencode default; now explicit. - **Fix cleanup stub** — automaton-cleanup.sh had a stale --project arg pointing at a pytest temp dir (test isolation leak). Rewired to point at ~/.automaton. - **Fix plist-isolation test** — test asserted host plist doesn't exist, but a real install creates it. Now snapshots mtime before run, asserts unchanged after (only a write during the test counts as bleed). - **New Playwright smoke test** (tests/test_dashboard_ui.py) — 2 tests: board renders tasks, column scroll survives auto-refresh tick. Verified the test fails without the scroll fix (scrollTop resets to 0). Skipped via importorskip when playwright is absent (main CI stays green). - **Clarify SI loop scope in README** — new-project onboarding section documents the framework-scoped self-improvement loop and options (leave/pause/create project loop). - **CHANGELOG** documents all changes including the known model-divergence gap (mde tasks marked complete but per-role model binding was never implemented).
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# Doc Review: fix-context-sizing
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## Status: PASS
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## Docs Updated
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1. `config.md` — added `## Loop Role Models` section between System Requirements and Framework Version.
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2. `prompts/decompose.md` — added `**4k VRAM**` row in peak-context Guideline and `(4k VRAM)` rows in Sub-Task Size Targets; added `≤ 16k VRAM: REFUSE` line as a non-negotiable floor.
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3. `tasks/fix-context-sizing/SPEC.md` SPEC.md, IMPLEMENTATION.md — present in task folder.
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4. `tests/test_context_sizing.py` — 15 new test cases.
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## Documentation Gaps Closed
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- Loop role contract now exists in user-facing `config.md` (was previously implicit / absent).
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- `decompose.md`'s context budget guidance now exposes the 4k tier and refuses ≤16k budgets explicitly, so users decomposing tasks for small models can plan correctly.
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- `--loop-mode` CLI flag is documented in script's `--help` output.
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- JSON output schema now carries `available_context_kb` and `loop_mode_eligible` which downstream consumers (loop runner) can rely on.
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## Gaps Remaining (out of scope — deferred to Tier 2 per D17)
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- `README.md` does not yet document `--loop-mode` in the human-facing CLI section (Tier 2 task).
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- Dashboard does not surface `loop_mode_eligible` (v1.1 panel).
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- `prompts/decompose.md` line 135 still says "If model detection fails, use 128k tokens as default" — the auto-detection flow's fallback. This is the user-facing decompose prompt's narrative; changing it would alter how decomposition agents behave in the research phase. Left intact; loop runner uses `--loop-mode` instead which *refuses* on this condition.
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## Cross-References
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- DESIGN.md not produced — task went directly research → implement per locked plan (Tier 1 fixes don't warrant a separate design phase).
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- This DOC_REVIEW covers the doc-side of the task; referee step is final.
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## Verdict
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Documentation is consistent with SPEC. No blocking gaps.
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