feat: sync all 4 runtime plugins with full engine surface + fix #52 #58 #62

Bug fixes:
- #52: bundle run-sleep.sh in Claude Code plugin + 4-level fallback
- #58: add skillopt-sleep console script entry point in pyproject.toml
- #62: filter headless claude -p replay sessions from harvest

Plugin sync (Claude Code / Codex / Copilot / OpenClaw):
- Document all 22 CLI flags, 7 actions, 4 backends across all SKILL.md files
- Document config keys (preferences, gate_mode, dream_rollouts, etc.)
- Document memory consolidation (evolve_memory / evolve_skill)
- Add schedule/unschedule to all plugins
- Copilot MCP: expand schema from 3 → 16 params + schedule tools
- OpenClaw: add schedule/unschedule subcommands via shared scheduler

Tests:
- Cross-plugin parity test (prevents future feature drift)
- MCP schema completeness test

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

plugins/copilot/copilot-instructions.snippet.md

@@ -19,6 +19,24 @@ my preferences", or "make the agent improve from past usage", use the MCP tools:
 - `sleep_run` — full cycle, stages a reviewed proposal (nothing live changes)
 - `sleep_adopt` — apply the staged proposal (backs up first)
 - `sleep_harvest` — list mined recurring tasks
+- `sleep_schedule` — install a nightly cron entry (set `hour`/`minute`)
+- `sleep_unschedule` — remove the nightly cron entry
+
+### Key parameters (pass as MCP tool arguments)
+
+- `backend` — `mock` (default, free), `claude`, `codex`, or `copilot`
+- `source` — `claude`, `codex`, or `auto` (where to read transcripts)
+- `target_skill_path` — explicit SKILL.md to evolve
+- `tasks_file` — pre-built TaskRecord JSON (skip harvest)
+- `max_tasks` / `max_sessions` — cap workload
+- `auto_adopt` — auto-adopt if the gate passes
+- `json` — machine-readable output for programmatic use
+
+### Advanced config (`~/.skillopt-sleep/config.json`)
+
+- `preferences` — free-text house rules for the optimizer
+- `gate_mode` — `on` (default) or `off`; `dream_rollouts` — >1 for more signal
+- `evolve_memory` / `evolve_skill` — toggle which docs consolidate
 
 Always show the user the held-out baseline → candidate score and the proposed
 edits before suggesting `sleep_adopt`. Never hand-edit the user's memory/skill