Lap Tran
bc7daf8590
- **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).
35 lines
2.3 KiB
Markdown
35 lines
2.3 KiB
Markdown
# BUG_REPORT: add-loop-templates-onboarding
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## Methodology
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Adversarial review of all changed files. Searched for: race conditions, token injection, path traversal, missing error handling, backward compat breaks, and edge cases in prompt resolution.
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## Findings
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### Bug 1 (LOW): `_resolve_prompt` writes temp file even when no tokens are substituted
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If a prompt file exists but contains no tokens (e.g. a static prompt), `_resolve_prompt` still reads it, does the substitution loop (which is a no-op), and writes a copy to `outputs/tickN-<role>-prompt.md`. This is wasteful but not incorrect -- the harness receives an identical prompt either way. The temp file provides an audit trail of what was sent to the harness, which is actually useful for debugging.
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**Severity:** LOW (performance/ cleanliness, not correctness)
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**Fix:** None needed for v1. The audit trail value outweighs the minor I/O cost.
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### Bug 2 (LOW): No token for `{cwd}` in content-level substitution
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The harness command template supports `{cwd}` as an argv-level token, but `_resolve_prompt` does not substitute `{cwd}` in the prompt file content. If a prompt author writes `{cwd}` in the prompt text, it will appear literally in the resolved prompt. The SPEC does not list `{cwd}` as a content-level token (R1 lists `{task_brief}`, `{acceptance_criteria}`, `{next_hint}`, `{current_task}`, `{current_phase}`, `{verdict}`, `{artifact_content}`), so this is by design -- `{cwd}` is a harness-command token, not a content-level token.
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**Severity:** LOW (documentation, not a bug)
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**Fix:** None needed. The prompt files use "Working directory: the cwd you were launched with" instead of `{cwd}`.
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### Bug 3 (INFO): `loop-orchestrate.md` references `code_review:awaiting_approval` then `--approve` in one step
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The orchestrate prompt says "If in `code_review`: transition to `code_review:awaiting_approval`, then approve." This is two `status.py` calls in one tick. The orchestrator role is a single LLM session that can make multiple CLI calls, so this is valid. The runner does not restrict the number of subprocess calls the orchestrator makes.
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**Severity:** INFO (not a bug)
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**Fix:** None needed.
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## Summary
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No correctness bugs found. Two LOW-severity observations and one INFO note. The implementation is solid for v1.
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**Verdict: CLEAN**
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