refactor(sleep): decouple engine to top-level skillopt_sleep/ (zero research dep)

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>

skillopt-sleep-plugin/README.md

@@ -48,7 +48,7 @@ cd SkillOpt
 ```
 
 The plugin's bundled runner (`scripts/sleep.sh`) auto-selects a Python ≥ 3.10
-interpreter and calls the `skillopt.sleep` engine in the repo. No `pip install`
+interpreter and calls the `skillopt_sleep` engine in the repo. No `pip install`
 is required for the default `mock` backend or for `claude`/`codex` backends —
 they shell out to the CLIs you already have.
 
@@ -65,9 +65,9 @@ they shell out to the CLIs you already have.
 Or call the engine directly (Python ≥ 3.10):
 
 ```bash
-python -m skillopt.sleep run --project "$(pwd)" --scope invoked --backend mock
-python -m skillopt.sleep run --project "$(pwd)" --backend claude   # real lift via Claude
-python -m skillopt.sleep run --project "$(pwd)" --backend codex    # real lift via Codex
+python -m skillopt_sleep run --project "$(pwd)" --scope invoked --backend mock
+python -m skillopt_sleep run --project "$(pwd)" --backend claude   # real lift via Claude
+python -m skillopt_sleep run --project "$(pwd)" --backend codex    # real lift via Codex
 ```
 
 Default backend is **`mock`** — deterministic, no API spend — so you can try the
@@ -98,10 +98,10 @@ Reproduce:
 
 ```bash
 git clone https://github.com/garrytan/gbrain-evals /tmp/gbrain-evals
-python -m skillopt.sleep.experiments.run_gbrain --backend claude --model haiku \
+python -m skillopt_sleep.experiments.run_gbrain --backend claude --model haiku \
   --seeds brief-writer --data-root /tmp/gbrain-evals/eval/data/skillopt-v1 \
   --nights 1 --limit-replay 3 --limit-holdout 3
-python -m skillopt.sleep.experiments.run_gbrain --backend codex \
+python -m skillopt_sleep.experiments.run_gbrain --backend codex \
   --seeds brief-writer --data-root /tmp/gbrain-evals/eval/data/skillopt-v1 \
   --nights 1 --limit-replay 3 --limit-holdout 3
 ```
@@ -109,8 +109,8 @@ python -m skillopt.sleep.experiments.run_gbrain --backend codex \
 ## Deterministic proof (no API, no keys)
 
 ```bash
-python -m skillopt.sleep.experiments.run_experiment --persona researcher --assert-improves
-python -m skillopt.sleep.experiments.run_experiment --persona programmer  --assert-improves
+python -m skillopt_sleep.experiments.run_experiment --persona researcher --assert-improves
+python -m skillopt_sleep.experiments.run_experiment --persona programmer  --assert-improves
 ```
 
 Each prints the held-out score rising from baseline toward 1.0 as the gate

skillopt-sleep-plugin/commands/sleep.md

@@ -18,7 +18,7 @@ held-out replay score, and nothing live is modified until the user adopts it.
 
 ## How to run it
 
-The engine is the `skillopt.sleep` Python package in this repo. Use the
+The engine is the `skillopt_sleep` Python package in this repo. Use the
 **plugin's bundled runner** so the right interpreter and repo are on the path:
 
 ```bash

skillopt-sleep-plugin/scripts/sleep.sh

@@ -1,12 +1,12 @@
 #!/usr/bin/env bash
-# SkillOpt-Sleep runner — invokes the skillopt.sleep engine with a suitable
+# SkillOpt-Sleep runner — invokes the skillopt_sleep engine with a suitable
 # Python interpreter, from the repo that contains this plugin.
 #
 # Usage: sleep.sh <run|dry-run|status|adopt|harvest> [extra args...]
 set -euo pipefail
 
 # Resolve the repo root: the plugin lives at <repo>/skillopt-sleep-plugin,
-# so the engine package is at <repo>/skillopt/sleep. CLAUDE_PLUGIN_ROOT points
+# so the engine package is at <repo>/skillopt_sleep. CLAUDE_PLUGIN_ROOT points
 # at the plugin dir when run by Claude Code; fall back to this script's dir.
 PLUGIN_ROOT="${CLAUDE_PLUGIN_ROOT:-$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)}"
 REPO_ROOT="$(cd "$PLUGIN_ROOT/.." && pwd)"
@@ -27,4 +27,4 @@ fi
 if [ "$#" -eq 0 ]; then set -- status; fi
 
 cd "$REPO_ROOT"
-exec "$PY" -m skillopt.sleep "$@"
+exec "$PY" -m skillopt_sleep "$@"

skillopt-sleep-plugin/skills/skillopt-sleep/SKILL.md

@@ -1,6 +1,6 @@
 ---
 name: skillopt-sleep
-description: "Use when the user wants their Claude agent to self-improve from past usage, asks about a nightly/offline 'sleep' or 'dream' cycle, memory/skill consolidation, or says things like '让 agent 越用越好用', 'review my past sessions', 'learn my preferences', 'consolidate what you learned', 'run the sleep cycle', or wants to schedule offline self-optimization. Drives the skillopt.sleep engine: harvest past sessions → mine recurring tasks → replay offline → consolidate validated CLAUDE.md/SKILL.md behind a held-out gate."
+description: "Use when the user wants their Claude agent to self-improve from past usage, asks about a nightly/offline 'sleep' or 'dream' cycle, memory/skill consolidation, or says things like '让 agent 越用越好用', 'review my past sessions', 'learn my preferences', 'consolidate what you learned', 'run the sleep cycle', or wants to schedule offline self-optimization. Drives the skillopt_sleep engine: harvest past sessions → mine recurring tasks → replay offline → consolidate validated CLAUDE.md/SKILL.md behind a held-out gate."
 ---
 
 # SkillOpt-Sleep: offline self-evolution for a local Claude agent
@@ -62,7 +62,7 @@ Prefer the `/sleep` command. Under the hood it calls the bundled runner:
 - Always show the user the **held-out baseline → candidate** score and the
   exact proposed edits before suggesting adoption. Evidence before adoption.
 - If asked whether it really helps, run
-  `python -m skillopt.sleep.experiments.run_experiment --persona researcher --json`
+  `python -m skillopt_sleep.experiments.run_experiment --persona researcher --json`
   — a deterministic demo that proves held-out lift and that the gate blocks
   harmful edits.
 
@@ -70,8 +70,8 @@ Prefer the `/sleep` command. Under the hood it calls the bundled runner:
 
 ```bash
 # deterministic proof (no API): held-out score rises, gate blocks regressions
-python -m skillopt.sleep.experiments.run_experiment --persona researcher --assert-improves
-python -m skillopt.sleep.experiments.run_experiment --persona programmer  --assert-improves
+python -m skillopt_sleep.experiments.run_experiment --persona researcher --assert-improves
+python -m skillopt_sleep.experiments.run_experiment --persona programmer  --assert-improves
 ```
 
 See `docs/sleep/experiment_results.md` for recorded output and