llm-wiki：按 LLM Wiki 模式维护个人知识库
llm-wiki 是 SkillHub 社区 Skill（@user_f2c57d7a/llm-wiki-pro，v1.0.0），在用户提出整理笔记、保存内容、处理源文件等意图时触发，按 Karpathy LLM Wiki 思路维护 VAULT_PATH 下的 raw/ 与 wiki/，并更新 index.md、log.md，支持 ingest、查询与 lint。本文基于官方 SKILL.md 与 SkillHub 安装文档说明三层架构、安装命令（skillhub install --dir 指向各客户端 skills 目录）及 OpenClaw 所需的 zk 与 VAULT_PATH 依赖，便于在 Cursor 等环境中落地个人知识库工作流。
Read MoreDeepSeek Harness Plugin: dsh-llm-wiki
dsh-llm-wiki is a zero-runtime-dependency plugin based on DeepSeek Harness (DSH), built with a pure ESM architecture and requiring Node.js 18 or above. By invoking the LLM-Wiki engine CLI, it encapsulates seven core tools for agents: retrieval, page reading, statistics, validation, fixing, error log viewing, and data ingestion. This plugin aims to implement the philosophy of "everything is a plugin," supporting direct knowledge base queries within conversations, ingesting source texts into the knowledge base, and continuously maintaining the knowledge base structure. Among these, query-type tools require no additional LLM configuration, while data ingestion and the fix functionality with Finalize require configuring an OpenAI-compatible LLM API. The installation process includes installing the Python engine via pip, adding the plugin via the dsh command, and configuring it in the pr
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