- harvest.py: revert break to continue — mtime ordering can diverge
from embedded ended_at timestamps (copy/touch), so we must check all
files rather than early-exiting on the first old one
- cycle.py: use `is not None and > 0` so lookback_hours=0 means
"scan full history" (opt-out of the cutoff)
- __main__.py: propagate --lookback-hours 0 to config as explicit 0
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- cycle.py: use supplied `clock` parameter (not wall time) for the
lookback cutoff, so deterministic tests/experiments get reproducible
harvest windows
- harvest.py: break (not continue) when a file is older than since_iso,
since files are sorted newest-first by mtime — avoids scanning the
entire transcript directory for quiet projects with large histories
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Two fixes from issue #57 feedback:
1. run-sleep.sh: support SKILLOPT_SLEEP_PYTHON env var to explicitly set
the Python interpreter. Useful on macOS where system Python is 3.9 but
a newer Python is available elsewhere (e.g. Codex Desktop's bundled
Python 3.12). Applied to both the shared runner and the bundled
Claude Code plugin copy.
2. cycle.py: on first run (no prior harvest recorded), apply the
lookback_hours config (default 72h) as a time cutoff. Previously,
first run scanned the entire transcript history, which could trigger
massive LLM mining on users with months of session data.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Wires two consolidation mechanisms into the shipped nightly cycle, both default
OFF so existing behavior is unchanged:
- dream_rollouts (>1): multi-rollout contrastive reflection per task
- recall_k (>0): associative recall of the K most-similar past tasks (from a
capped task_archive persisted in state.json) into tonight's dream
- dream_factor (>0): synthetic task variants
New shared engine module skillopt_sleep/dream.py (recall_similar, dream_augment,
dream_consolidate) is called by both the plugin cycle and the experiment harness,
so reported numbers exercise the exact shipped code. Built on the existing
rollouts_k/sample_id support already in consolidate.py/rollout.py.
Validated (5 nights x 10 real tasks/night, full held-out test, GPT-5.5, gated):
the gain scales with recall depth on a clean signal —
SearchQA recall_k=10 +3.1, recall_k=20 +4.5, full-history reference +5.6;
SpreadsheetBench (nano, gate-free) +3.6. Flat within noise on saturated/noisy
cells. See docs/sleep/EXPERIENCE_REPLAY.md (+ raw runs under blog_runs/v2_port/).
Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
Open-source-tool / research-code separation:
- git mv skillopt/sleep/ -> skillopt_sleep/ (top-level, sibling to the research
skillopt/ package). History preserved as renames.
- All imports skillopt.sleep.* -> skillopt_sleep.*.
- Vendor the validation gate into skillopt_sleep/gate.py (a self-contained copy
of skillopt.evaluation.gate). The engine now has ZERO dependency on the
research package — verified: grep finds no `from skillopt.` in skillopt_sleep/,
and consolidate's gate resolves to skillopt_sleep.gate.
- Plugin scripts/commands/skill call `-m skillopt_sleep`.
29 tests pass; `python -m skillopt_sleep` runs standalone.
Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
carpedkm