Files
Lap Tran bc7daf8590 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).
2026-06-26 10:05:18 -04:00

2.3 KiB

BUG_REPORT: add-loop-templates-onboarding

Methodology

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.

Findings

Bug 1 (LOW): _resolve_prompt writes temp file even when no tokens are substituted

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.

Severity: LOW (performance/ cleanliness, not correctness) Fix: None needed for v1. The audit trail value outweighs the minor I/O cost.

Bug 2 (LOW): No token for {cwd} in content-level substitution

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.

Severity: LOW (documentation, not a bug) Fix: None needed. The prompt files use "Working directory: the cwd you were launched with" instead of {cwd}.

Bug 3 (INFO): loop-orchestrate.md references code_review:awaiting_approval then --approve in one step

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.

Severity: INFO (not a bug) Fix: None needed.

Summary

No correctness bugs found. Two LOW-severity observations and one INFO note. The implementation is solid for v1.

Verdict: CLEAN