Sumo Notebook RAG

搜尋並返回 SumoNoteBook 知識庫中與查詢相關的前三條文字內容預覽作為參考依據。

This skill appears to be a local knowledge-base searcher, but the SKILL.md assumes you already have: a running Ollama daemon (http://localhost:11434), LanceDB with a sumo_notebook table, Node.js, and the two Windows scripts under C:\butler_sumo\... — none of which are declared in the metadata. Before installing or enabling: 1) Verify those paths and scripts exist on the host and inspect the script contents (ingest_notebook.mjs, query_notebook.mjs) so you know what they read/transmit. 2) Confirm you are comfortable the agent will read the specified local markdown files (these may contain sensitive data). 3) Ensure Ollama and LanceDB are trusted and correctly configured (they run locally but may expose data if misconfigured). 4) If you expect this to run on a non-Windows host or in a sandbox, update the skill metadata to list required binaries (node, Ollama), paths, and any network endpoints; ask the publisher to correct the missing dependency declarations. If the author can provide an install spec or explicit list of required components and an explanation of why those specific local paths are needed, that would reduce the ambiguity and could change this assessment.

Type: OpenClaw Skill Name: sumo-notebook-rag Version: 1.0.0 The skill bundle describes a standard Retrieval-Augmented Generation (RAG) system designed to query a local knowledge base using Ollama and LanceDB. The documentation in SKILL.md provides clear instructions for the agent to perform vector searches on local markdown files and includes diagnostic commands for maintenance. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found, and the hardcoded file paths (e.g., in C:\butler_sumo) are consistent with the stated purpose of accessing a specific local library.