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>
This commit is contained in:
carpedkm
2026-06-20 11:31:09 +00:00
parent 0b5b9a4296
commit 0be780052a
12 changed files with 479 additions and 16 deletions
+33
View File
@@ -52,6 +52,39 @@ python3 run_sleep.py --dry-run
python3 run_sleep.py --tasks tests/research-cron-tasks.json
```
## Scheduling
```bash
python3 slash_sleep.py schedule --hour 3 --minute 17
python3 slash_sleep.py unschedule
python3 slash_sleep.py unschedule --all
```
Installs a nightly cron entry using the shared SkillOpt-Sleep scheduler. This is an alternative to the external `run_sleep_cron.sh` script.
## Alternative backends
While OpenClaw defaults to `openclaw-deepseek` (DeepSeek V4 Pro + Ollama), the shared engine also supports:
- `--backend mock` — deterministic, no API spend (for testing)
- `--backend claude` — uses the Claude CLI
- `--backend codex` — uses the Codex CLI
- `--backend copilot` — uses the GitHub Copilot CLI
These can be used via the engine directly (`python -m skillopt_sleep`).
## Shared-engine flags
When invoking the engine directly, all standard flags are available:
- `--source codex` / `--source auto` — harvest from Codex Desktop sessions
- `--tasks-file PATH` — use a pre-built task set
- `--target-skill-path PATH` — explicit SKILL.md target
- `--max-tasks N` / `--max-sessions N` — cap workload
- `--progress` — print phase progress
- `--json` — machine-readable output
- `--auto-adopt` — auto-adopt if gate passes
Config keys: `preferences`, `gate_mode`, `gate_metric`, `dream_rollouts`, `recall_k`, `evolve_memory`, `evolve_skill`.
## Config (config.json)
Key knobs: