心理健康评估报告生成器：用本地 Ollama 把文本与记录转成结构化心理评估报告
心理健康评估报告生成器是 SkillHub 社区 Skill（@user_800f06e6/mental-health-monitor，v1.0.0），面向本地 Ollama：输入文本、Markdown 或 CSV，由 Agent 生成结构化心理健康评估报告，无需 API Key。支持心理评估、抑郁/焦虑分析、PHQ-9、GAD-7 等触发词。文章说明定位、核心能力、SkillHub CLI 安装（含 Cursor 等 skills 目录）及使用注意，并强调不能替代专业诊疗。
Read MoreDSH-LocalModels-TokenSavior: Zero Cloud Token Costs for Calling Local Ollama Models
DSH-LocalModels-TokenSavior is a plugin that offloads read-only collection tasks to local Ollama models, aiming to process large files or logs at zero cost. Installation requires Ollama access, Provider routing configuration, and model declaration as prerequisites. It can be enabled through the settings panel or configuration file, and supports checking status with `ollama_local_models()` as well as executing extraction, classification, and other tasks with `subagent_local()`. The plugin returns only conclusions, does not consume the main conversation context, and is suitable for use cases such as log analysis.
Read Moredsh-wsl-vecmem: A Local Vector Memory Plugin Based on Ollama
`dsh-wsl-vecmem` is a lightweight local semantic memory plugin for DeepSeek Harness (DSH). It generates embeddings by calling Ollama and stores them using JSON files, providing three core commands: `vecmem_status`, `vecmem_add`, and `vecmem_search`, to support text retrieval by semantic similarity. This solution requires no standalone vector database, making it suitable for maintaining a local knowledge base, but attention should be paid to WSL network configuration issues when accessing Ollama on Windows.
Read Moredsh-wsl-ollama: Connect to Local Ollama Models on WSL
DSH Harness (DSH) provides the `dsh-wsl-ollama` plugin to resolve network connectivity issues when accessing local Ollama in a WSL environment. This optional plugin supports status queries, model listings, local chat, and vectorization. It is installed through a specific command, and its configuration supports automatic host address detection or manual setup. It is released under the MIT license.
Read MoreDeepSeek Harness Plugin: nvbb/dsh-ollama-vision-bridge
`nvbb/dsh-ollama-vision-bridge` is a plugin for DeepSeek Harness (DSH) that addresses the inability of text-only models to process images. It uses a local Ollama vision model (default `qwen3-vl:8b`) to automatically describe image content and inject it into the conversation context, enabling the text model to answer based on the image. The plugin supports automatic mounting, VRAM cooldown, hot-reload configuration, and status queries. Installation requires stopping the DSH service first, depends on specific anchors, and covers only the standard session chat path.
Read Moredsh-plugin-ollama-monitor: Ollama Monitoring and Evaluation Platform
dsh-plugin-ollama-monitor is an Ollama monitoring and benchmarking plugin integrated into the DeepSeek Harness (DSH) ecosystem. It aims to provide a unified toolchain, eliminating the need to switch between the terminal and the web interface. The plugin uses a hybrid Node-side and Web-side architecture, offering features such as service status checks, model speed tests, pull management, and programming evaluations. Installation must be performed through CLI commands. Configuration options include the service address, default model, and speed test prompt, among others. After installation, restart the Profile for the changes to take effect.
Read Moredsh-llm-ollama: DeepSeek Harness Ollama Provider Plugin
`dsh-llm-ollama` is a community Ollama provider plugin for DeepSeek Harness (DSH), used to integrate local or remote Ollama services within the DSH web profile. The plugin implements conversation via Ollama's native `POST /api/chat` protocol, supporting streaming responses, tool calling, multimodal image attachments, and reasoning process display. Core functions include a full-page settings interface for managing parameters such as the API address and temperature; one-click discovery and addition of models using `GET /api/tags`; mapping the context window and maximum output tokens to Ollama's `options.num_ctx` and `num_predict`; and auto-detection or manual control of the reasoning level via `thinkingCapable`. Furthermore,
Read MoreOpenClaw: The GitHub Sensation Self-Hosted Personal AI Agent
OpenClaw is one of the fastest-growing open-source projects on GitHub in 2026. It connects over 50 messaging channels including WhatsApp, Telegram and Slack via a Node.js Gateway, and runs AI Agents locally around the clock that can execute Shell commands, automate browser tasks and store personal memories. Based on cross-verified information from official documentation and authoritative media, this article introduces its local-first architecture, Skill ecosystem, Ollama access method, as well as Agent security discussions and deployment suggestions brought by the default disabled sandbox.
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