OpenViking

RAG and semantic search via OpenViking Context Database MCP server. Query documents, search knowledge base, add files/URLs to vector memory. Use for document Q&A, knowledge management, AI agent memory, file search, semantic retrieval. Triggers on "openviking", "search documents", "semantic search", "knowledge base", "vector database", "RAG", "query pdf", "document query", "add resource".

Review before installing. Use it only for documents you intentionally want indexed, avoid broad private directories and secrets, protect ov.conf API keys, keep the MCP server bound to localhost, and verify the upstream repository before running setup.

Type: OpenClaw Skill Name: openviking Version: 1.0.3 The OpenViking skill bundle is designed to set up and interact with a local RAG (Retrieval Augmented Generation) server. The `SKILL.md` provides clear, non-malicious instructions for the AI agent and user, without any evidence of prompt injection attempts to subvert the agent's purpose. The `scripts/init.sh` script performs standard setup tasks: cloning the OpenViking repository from `https://github.com/volcengine/OpenViking`, installing Python dependencies using `uv sync`, and creating a configuration template. There is no evidence of data exfiltration, persistence mechanisms, or other intentionally harmful behaviors. The instruction to install `uv` via `curl | sh` is a user-facing prerequisite, not an action directly executed by the skill itself, and `uv` is a legitimate tool.