Knowledge

OpenClaw Knowledge Maintenance And Safety

skills/openclaw-knowledge-maintenance-and-safety.md


title: OpenClaw Knowledge Maintenance And Safety category: skills tags: [openclaw, memory, wiki, safety, maintenance] aliases: [OpenClaw Knowledge Maintenance] relationships:

type: implements

type: derived_from sources: [_raw/openclaw/p5678-sessions-skills-docs-logs-2026-05-25/] summary: Durable OpenClaw maintenance depends on append-safe memory handling, layered knowledge documents, raw-first wiki ingest, and explicit safety review before installing new skills. provenance: extracted: 0.88 inferred: 0.10 ambiguous: 0.02 base_confidence: 0.86 lifecycle: draft lifecycle_changed: 2026-05-25 tier: supporting created: 2026-05-25T09:15:45Z updated: 2026-05-25T09:15:45Z


OpenClaw Knowledge Maintenance And Safety

The root docs outside docs/openclaw/ fill an important gap: they explain how to keep the knowledge system healthy, where to store operational detail, and what safety bar must be met before the skill layer grows.

Durable Rules

  • Daily memory files should be appended to, not overwritten.
  • Long-term facts, daily notes, knowledge-base documents, and configuration data belong in different storage layers.
  • Raw-first wiki ingest is the preferred preservation path: archive the source under raw/, then distill from that archived copy.
  • New skills must be vetted for safety before installation; the security report reinforces that desktop-control and capture-heavy skills carry higher risk.

Useful Support Docs In This Batch

  • memory_system_fix.md captures why append-only memory handling matters.
  • openclaw-knowledge-base.md lays out a layered documentation strategy instead of treating every note as equal.
  • openclaw_desktop_skills_security_report.md provides a concrete risk lens for evaluating skills with broad system access.
  • learning_knowledge_base.md shows how recurring learning pushes are fed from a structured local source rather than improvised each time.
  • tools-download-links.md keeps tool pointers in a narrow operational doc instead of bloating core memory.

Practical Implication

OpenClaw works best when the system separates evidence, durable rules, reflective summaries, and operational secrets instead of trying to merge them into one memory file. ^[inferred]

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