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>
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@@ -1,6 +1,6 @@
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---
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name: skillopt-sleep
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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."
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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."
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---
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# SkillOpt-Sleep: offline self-evolution for a local Claude agent
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@@ -62,7 +62,7 @@ Prefer the `/sleep` command. Under the hood it calls the bundled runner:
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- Always show the user the **held-out baseline → candidate** score and the
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exact proposed edits before suggesting adoption. Evidence before adoption.
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- If asked whether it really helps, run
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`python -m skillopt.sleep.experiments.run_experiment --persona researcher --json`
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`python -m skillopt_sleep.experiments.run_experiment --persona researcher --json`
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— a deterministic demo that proves held-out lift and that the gate blocks
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harmful edits.
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@@ -70,8 +70,8 @@ Prefer the `/sleep` command. Under the hood it calls the bundled runner:
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```bash
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# deterministic proof (no API): held-out score rises, gate blocks regressions
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python -m skillopt.sleep.experiments.run_experiment --persona researcher --assert-improves
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python -m skillopt.sleep.experiments.run_experiment --persona programmer --assert-improves
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python -m skillopt_sleep.experiments.run_experiment --persona researcher --assert-improves
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python -m skillopt_sleep.experiments.run_experiment --persona programmer --assert-improves
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```
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See `docs/sleep/experiment_results.md` for recorded output and
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