一键导入
openclaw-mem-curate
Govern memory, episode, skill, and fact lifecycle maintenance through the unified curate scan, review, apply, verify, and rollback verbs.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Govern memory, episode, skill, and fact lifecycle maintenance through the unified curate scan, review, apply, verify, and rollback verbs.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Operate graph readiness, topology lookup, synthesis-aware routing, and symbolic evidence canvases. Use for project ownership, impact, dependency, or idea-to-project questions.
Govern embedding refresh, episodic evidence synchronization, metadata writeback, and engine dataset snapshots. Use before or after bounded sync, reindex, migration, or writeback operations.
Govern source-linked temporal facts in openclaw-mem. Use for current truth, timelines, stale detection, fact packs, and review-only fact extraction.
Operate experimental Dream Lite planning, governed refresh canaries, rollback, and Director rehearsals. Use only for explicitly reviewed derived card maintenance.
Operate the experimental GBrain lookup, restricted helper-job, and governed refresh-canary lanes. Use only when GBrain integration is explicitly enabled.
Operate the experimental read-only goal primitive and surface validation. Use for normalized goal status, compact goal packs, and receipt validation, not continuation or autonomous mutation.
| name | openclaw-mem-curate |
| description | Govern memory, episode, skill, and fact lifecycle maintenance through the unified curate scan, review, apply, verify, and rollback verbs. |
| metadata | {"ring":1,"surface":["cli"],"version":"2.0.0","requires":["openclaw-mem-memory"]} |
Use scan → review → apply → verify → rollback as the explicit governed loop. Every wrapper preserves the complete engine receipt in inner.
openclaw-mem curate scan --target memory --json
openclaw-mem curate scan --target episodes --json
openclaw-mem curate scan --target skills --skill-root <workspace>/skills --json
openclaw-mem curate scan --target facts --source-root <workspace> --json
openclaw-mem curate review --target memory --from-file <recommendation.json> --json
openclaw-mem curate apply --target memory --from-file <governor.json> --json
openclaw-mem curate verify --target memory --run-dir <receipt-dir> --json
openclaw-mem curate rollback --target memory --receipt <rollback.json> --json
Skill mutation remains checkpointed and whitelist-only: pass an explicit self-curator plan to curate apply --target skills --plan <plan.json>. Unsupported verb-target pairs return stable zero-write receipts.
See legacy commands when maintaining older automation. Aliases remain callable and emit deprecation guidance; do not remove them during migration.
openclaw-mem curate scan --target skills --skill-root <workspace>/skills --json
python -m pytest tests/test_self_curator.py -q
git diff --check