feat(sleep): add handoff backend — session-executed model calls, no API subprocess (#125)
Adds --backend handoff: the engine runs all deterministic stages and outsources attempt/judge/reflect to prompt/answer files an interactive agent session fills between runs (exit 3 = pending batch, re-run to resume). Deterministic replay + the prompt-hash answer cache make resume stateless; sentinel detection aborts any call built from unanswered output so placeholders never reach scores or staging. Session digests and mined tasks are pinned per night (secret-redacted) so the sessions answering prompts cannot shift the task set, and LLM mining is routed through the same handoff files. Ships a /skillopt-sleep-handoff Claude Code command that answers each prompt in a fresh-context subagent to protect the held-out gate. Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
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@@ -4,6 +4,19 @@ All notable changes to SkillOpt are documented here. This project adheres to
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[Semantic Versioning](https://semver.org/) and the format is based on
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[Keep a Changelog](https://keepachangelog.com/).
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## [Unreleased]
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### Added
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- **Handoff backend** (`--backend handoff`) for SkillOpt-Sleep — runs the
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sleep cycle with no model subprocess or API key: the engine writes each
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pending model call to `PROMPTS.md`/`pending.json` (exit code 3) and the
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user's own agent session answers into `answers/<id>.md`; re-running the
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same command resumes statelessly from the answers (typically 3–6 rounds
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per night). Mined tasks are pinned per night so answering sessions cannot
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shift the task set. Ships a `/skillopt-sleep-handoff` Claude Code command
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that automates the loop with fresh-context subagents to protect the
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held-out gate.
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## [0.2.0] — 2026-07-02
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The headline of this release is **SkillOpt-Sleep**: a nightly offline
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