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taodengandClaude Opus 4.6
7088d3d7d0
Unify version references across all files. Update GitHub repo description from "Draft skill" to "Lifecycle plugin". Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
56 lines
1.9 KiB
Markdown
56 lines
1.9 KiB
Markdown
# Changelog
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## v2.0.0 — 2026-03-15
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### Summary
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Major architecture upgrade: from prompt-based skill to **lifecycle plugin**.
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State injection and extraction now happen automatically via OpenClaw hooks,
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making recovery model-agnostic and reliable across all providers.
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### Added
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- `index.js` — plugin entry point with 5 lifecycle hooks
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- `openclaw.plugin.json` — plugin manifest with configSchema
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- Automated installer (`scripts/post-install.sh`) that handles copy + config + restart
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### Changed
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- Architecture: skill (prompt-based) → plugin (hook-based)
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- `before_agent_start` hook injects `CURRENT_STATE.md` into system context automatically
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- `agent_end` hook auto-extracts working state from conversation
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- `before_compaction` hook preserves state through context compression
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- `before_reset` hook archives state before `/new`
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- `session_end` hook ensures state file exists
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- README fully rewritten for plugin architecture
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- post-install.sh rewritten for plugin installation flow
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### Removed
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- Dependency on model cooperation for state read/write
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- Reliance on `skillsSnapshot` cache clearing
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### Validated
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- Tested with MiniMax M2.5 and GPT-5.4 on OpenClaw 2026.3.12
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- `/new` recovery: agent correctly surfaces recovered state
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- Multi-turn state: conversation context (secrets, scheduled events) persists across resets
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---
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## v0.3.0-probe — 2026-03-13
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### Summary
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Transition from skill-only to dual-form package (skill + lifecycle plugin probe).
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### Added
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- `plugin/lifecycle-prototype.ts`
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- `references/phase2-hook-validation.md`
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### Changed
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- Repository direction clarified: primary path is lifecycle plugin
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- ContextEngine documented as future option, not v1 default
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### Validated
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- Startup continuity injection on resident subagents
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- Hook wiring confirmed without `read` tool dependency
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### Known limitation
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- Skill-based approach unreliable: models can ignore recovery instructions
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- This limitation is resolved in v2.0.0 by moving to hooks
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