知识网格 / Knowledge Mesh

This skill appears coherent for a multi-source search/aggregation tool: it uses the tokens you would expect and stores data locally under ~/.openclaw-bdi/knowledge-mesh (or KM_DATA_DIR). Before installing, review these points: 1) Inspect scripts/source_searcher.py (and its adapters) to confirm it calls only official platform APIs and has no hardcoded third‑party relay endpoints; truncated files in the package mean I couldn't fully verify that here. 2) Provide least‑privilege credentials (read-only tokens, limited scopes) for GitHub/Confluence/Notion/Slack/Discord and avoid using highly privileged personal tokens. 3) If you will index local notes, set KM_OBSIDIAN_VAULT_PATH and KM_DATA_DIR to a controlled location and consider running the skill in an isolated environment. 4) If the README's privacy claim ('no data passes through third‑party server') is important to you, confirm network behavior by reviewing the source_searcher adapters or running in a network‑monitored sandbox. If you want, I can scan the remaining truncated files (source_searcher, index_builder, others) for any external endpoints or suspicious code — that would raise my confidence to high.