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).

tasks/fix-vram-model-prefix-match/.state

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+complete

tasks/fix-vram-model-prefix-match/.state.approvals

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+research:approved|2026-06-22T14:28:48.259307+00:00|user
+code_review:approved|2026-06-22T14:36:53.260572+00:00|user

tasks/fix-vram-model-prefix-match/ADVERSARIAL_BUG_REPORT.md

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+# Adversarial Bug Report: fix-vram-model-prefix-match
+
+## Attack Vectors Tested
+1. **Empty model name**: Returns 0 (no match) — correct
+2. **Model name with only separator**: `:` or `-` alone — no match, correct
+3. **Case sensitivity**: `key.lower()` and `name_lower` handle case-insensitive matching correctly
+4. **Suffix that partially matches known suffix**: `instruct` vs `instructional` — `instructional` would not match since `split("-")[0]` gives `instructional` which is not in the set
+5. **Multiple separators**: `deepseek-r1:7b-instruct` — matches via `:` before reaching `-` check (correct, Ollama tag takes priority)
+
+## Findings
+No bugs found.
+
+## Verdict: PASS

tasks/fix-vram-model-prefix-match/BUG_REPORT.md

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+# Bug Report: fix-vram-model-prefix-match
+
+## Scope
+Reviewed `scripts/vram_detect.py` `_lookup_model_context()` and `_KNOWN_MODEL_SUFFIXES` for bugs.
+
+## Findings
+No bugs found. The three-tier matching correctly handles:
+- Exact matches
+- Ollama `:` parameter tags
+- Known instruction-tuning suffixes via `-` separator
+- Rejects unknown suffixes (prevents false matches)
+
+## Verdict: PASS

tasks/fix-vram-model-prefix-match/CODE_REVIEW.md

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+# Code Review: fix-vram-model-prefix-match
+
+## Reviewed Files
+- `scripts/vram_detect.py` (`_lookup_model_context()`, `_KNOWN_MODEL_SUFFIXES`)
+
+## Changes
+Replaced raw `startswith()` with three-tier matching: exact match, `:` separator (Ollama tags), and `-` separator with known instruction-tuning suffix whitelist.
+
+## Analysis
+- **Correctness**: The three-tier approach correctly handles all test cases:
+  - `deepseek-r1:7b` matches via `:` separator ✓
+  - `llama-3.1-8b-instruct` matches via `-` + `instruct` suffix ✓
+  - `phi-4-mini-instruct` rejected (`mini` not in suffixes) ✓
+  - `gpt-4o-foo-unknown` rejected (`foo` not in suffixes) ✓
+  - `phi-40` rejected (no separator) ✓
+- **Edge cases**: `gpt-4-turbo` is in the dict directly, so it matches via exact match (checked before `gpt-4` due to length-descending sort)
+- **Maintainability**: The suffix whitelist is explicit and easy to extend
+
+## Verdict: PASS
+
+The fix is well-structured, handles all edge cases correctly, and is properly tested.

tasks/fix-vram-model-prefix-match/DOC_REVIEW.md

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+# Doc Review: fix-vram-model-prefix-match
+
+## Documentation Impact
+No documentation changes needed. The fix is internal to `_lookup_model_context()` with no change to user-facing CLI output or behavior.
+
+## Checklist
+- [x] No new commands or flags introduced
+- [x] AGENTS.md unchanged — no references to model matching internals
+- [x] VRAM_CONFIG.md format unchanged
+- [x] CHANGELOG.md will be updated for the release
+
+## Verdict: PASS

tasks/fix-vram-model-prefix-match/IMPLEMENTATION.md

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+# Implementation: fix-vram-model-prefix-match
+
+## Bug
+`_lookup_model_context()` in `vram_detect.py` used raw `startswith()` for model name matching, causing false positives like `phi-4` matching `phi-40` or `phi-4-mini-instruct` (a different model with different context window).
+
+## Fix
+Replaced the raw `startswith()` with a three-tier matching strategy:
+1. **Exact match** — `name_lower == key_lower`
+2. **Ollama parameter tag** — `name_lower.startswith(key_lower + ":")` (e.g. `deepseek-r1:7b` matches `deepseek-r1`)
+3. **Known instruction-tuning suffix** — `name_lower.startswith(key_lower + "-")` only if the next segment is in `_KNOWN_MODEL_SUFFIXES = {"instruct", "chat", "it", "fp16", "f16", "bf16"}` (e.g. `llama-3.1-8b-instruct` matches `llama-3.1-8b`)
+
+Keys are sorted by length descending so the most specific match wins first.
+
+This prevents false matches:
+- `phi-4-mini-instruct` → `mini` not in known suffixes → no match ✓
+- `gpt-4o-foo-unknown` → `foo` not in known suffixes → no match ✓
+- `phi-40` → no `:` or known-suffix separator → no match ✓
+
+## Files Changed
+- `scripts/vram_detect.py`: Added `_KNOWN_MODEL_SUFFIXES` set, rewrote `_lookup_model_context()` with three-tier matching
+
+## Tests
+- `test_lookup_model_context_no_false_prefix_match`: Asserts `phi-4-mini-instruct` and `gpt-4o-foo-unknown` return 0
+- Existing `test_lookup_model_context_prefix_match` still passes (deepseek-r1:7b and llama-3.1-8b-instruct)

tasks/fix-vram-model-prefix-match/SPEC.md

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+# Spec: fix-vram-model-prefix-match
+
+## Problem
+`scripts/vram_detect.py:396` uses `model_name.lower().startswith(key.lower())` to match model names. This prefix matching causes false matches: `phi-4-mini` matches `phi-4` (16000), and unknown models starting with known prefixes get incorrect context windows instead of the fallback.
+
+## Fix
+Try exact match first, then longest-prefix match (sort keys by length descending). Only match if the model name equals the key or starts with `key + "-"` (to avoid `phi-4` matching `phi-40`).
+
+## Acceptance Criteria
+- `phi-4-mini-instruct` does NOT match `phi-4` — returns fallback (128000)
+- `gpt-4o` still matches `gpt-4o` (exact) — returns 128000
+- `gpt-4o-mini` matches `gpt-4o-mini` (exact) — returns 128000
+- `claude-3-5-sonnet-20241022` matches exact entry — returns 200000
+- Existing tests in `test_vram_detect.py` still pass
+- Add test for the prefix edge case

tasks/fix-vram-model-prefix-match/VERDICT.md

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+# Verdict: fix-vram-model-prefix-match
+
+## Status: PASS
+
+## Summary
+Fixed `_lookup_model_context()` false prefix matches by replacing raw `startswith()` with three-tier matching: exact, `:` separator (Ollama tags), and `-` separator with known instruction-tuning suffix whitelist. Well-tested with positive and negative cases.
+
+## Artifacts
+- IMPLEMENTATION.md: Complete
+- CODE_REVIEW.md: PASS
+- BUG_REPORT.md: No bugs found
+- ADVERSARIAL_BUG_REPORT.md: No bugs found
+- DOC_REVIEW.md: PASS