dsh-neon: Neon Element Data Lookup Plugin

`dsh-neon` is a DSH plugin implemented entirely in Node.js, designed to provide chemical data for neon through local interfaces without relying on external network requests. Maintained by uckkk, it offers two core features: `element_info`, which retrieves complete information about neon (such as its atomic number and electron configuration), and `element_field`, which allows extracting specific data by field name. Installation requires the `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools` dependencies and can be performed via the command line. This tool provides developers with a convenient way to access standardized data.

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dsh-negotiation: Scenario-Based Structured Negotiation Strategies

The `dsh-negotiation` plugin for DeepSeek Harness is maintained by uckkk and aims to provide standardized, structured strategies and recommendations for negotiation scenarios in model inference and agent development. Implemented in pure Node.js with no network dependencies, it addresses the challenge of maintaining prompt logic. Users can install it via the CLI and directly invoke the `negotiation` tool within a session to obtain the corresponding negotiation methods. This tool is suitable for various tasks that require handling negotiation logic.

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dsh-nd: NDJSON Transformation Plugin

The `dsh-nd` plugin for DeepSeek Harness (DSH) aims to provide flexible NDJSON data transformation capabilities, following the "everything is a plugin" design philosophy. Maintained by uckkk, it is a lightweight tool implemented in pure Node.js, with no network dependencies, making it suitable for offline environments. It can be installed with `dsh plugin add github:uckkk/dsh-nd`, and used by directly invoking the tools it registers. Note that the plugin runs with the permissions of the current DSH process, so it is recommended to review the source code before deployment to ensure security.

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dsh-nd-filter: ND Filter Shutter Calculation Tool

The DeepSeek Harness plugin `dsh-nd-filter` is designed for photography scenarios and provides shutter-speed calculation for ND filters, implemented in pure Node.js. It depends on `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools`, and supports the `nd_filter` tool for directly calculating the required shutter speed based on aperture, ISO, and base shutter time, without manually writing formulas. Once installed, it can be invoked during a session, making it suitable for photography parameter planning, with no network dependency at runtime.

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dsh-nanoid: A Pure Node.js Nano ID Generator

dsh-nanoid is a pure Node.js Nano ID generator plugin designed specifically for DeepSeek Harness (DSH). It generates IDs using the local `crypto` module, requiring no network requests or external services. It is maintained by istone and licensed under the MIT License. Users must install it via the command line and configure `package.json` to enable it. This tool is suitable for scenarios that require locally generated unique IDs and a lightweight solution. It is recommended to review the source code before installation.

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dsh-nail-trim: Nail Trimming Cycle

DeepSeek Harness (DSH) offers a plugin named `dsh-nail-trim`, designed to address periodic suggestion generation needs through an “everything is a plugin” architecture. The tool is implemented purely in Node.js, has no network dependencies, and supports stable operation in offline environments. Developers can install the plugin by running a specific command and invoke its features directly within a session. The plugin runs with the permissions of the current process, making it suitable for development scenarios that require lightweight helper logic.

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dsh-nail-steps: Nail Procedure Plugin

The `dsh-nail-steps` plugin for DeepSeek Harness (DSH), maintained by uckkk, provides parameter-based generation of “nail care plans.” The plugin is implemented in pure Node and has no network dependencies, making it efficient to run. After installation, it exposes the `nail_steps` tool within a session, suitable for scenarios that simulate nail-care workflows, such as fun dress-up and role-playing. The plugin is open-sourced under the MIT License; it is recommended to review its source code logic before use.

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dsh-nail-shape: Nail Shape Selection

The DSH plugin `dsh-nail-shape` provides a “nail shape selection” feature, using the tool function `nail_shape` to return a nail care plan based on input parameters. The plugin is implemented entirely in Node.js, has no network dependencies, and is easy to install. It is suitable for DSH workflows that require local logic processing, runs with the current process permissions, and its source code is open source.

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DeepSeek Harness Plugin: dsh-nail-issue (Nail Issue Handling)

The DeepSeek Harness (DSH) plugin `uckkk/dsh-nail-issue` provides domain-specific tools for agents to handle nails (problem nails). The plugin has no network dependencies and is implemented in pure Node.js. It registers a `nail_issue` tool that returns nail care solutions based on the provided parameters. Users can install it by running `dsh plugin add github:uckkk/dsh-nail-issue`. The tool is suitable for agents that need to integrate nail care capabilities. It requires `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools` to run and is distributed under the MIT license.

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dsh-music-common: Music Theory Basics Plugin

`dsh-music-common` is a plugin for DeepSeek Harness (DSH) that provides foundational music theory data for model inference, with a focus on learning plans for Chinese traditional instruments. It is maintained by developer uckkk and registers the `music_common` tool to return instrument learning plans in a parameterized form. Built with pure Node.js, it makes no network requests and runs efficiently and stably. Install it with `dsh plugin add github:uckkk/dsh-music-common`; the tool is automatically enabled after installation. It is open-sourced under the MIT License.

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dsh-muscle-diet: Muscle-Building Diet Plan Generation

dsh-muscle-diet is a plugin for DeepSeek Harness (DSH), designed to meet the need for agents to quickly obtain customized strength-training plans. It is implemented purely in Node with no network dependencies, registers the `muscle_diet` tool, and supports returning muscle-building diet plans via parameters. It has specific dependency requirements and is recommended for use only after reviewing the source code.

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dsh-move-day: Moving Day Relocation Plan Generation Plugin

DeepSeek Harness (DSH) promotes the “everything is a plugin” philosophy. dsh-move-day is a pure Node-based plugin focused on mitigating model hallucinations when handling concrete business logic such as moving-day planning. It requires no network dependencies and can directly generate a specific relocation plan on moving day based on provided parameters. Once installed, it can be invoked within a conversation. The plugin runs with DSH process privileges; it requires specific dependencies before use and is suitable for agent scenarios involving automated moving-day planning.

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dsh-motor-current: Motor Current Calculation

The DeepSeek Harness (DSH) plugin dsh-motor-current is dedicated to local motor current calculations. It is implemented in pure Node.js and does not rely on network access. Through the `motor_current` tool, the plugin performs precise calculations based on input parameters and returns the results. It can be installed by running `dsh plugin add github:uckkk/dsh-motor-current` and is automatically registered after installation. The plugin is intended for engineering numerical computation scenarios, depends on specific versions of `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools`, runs with the current process permissions, and is licensed under the MIT License.

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dsh-motion-design: Motion Design Principles Reference

The DeepSeek Harness (DSH) plugin `dsh-motion-design` is a localized tool implemented purely in Node.js that provides motion design principle references without requiring an internet connection. Maintained by uckkk, its core features include local execution logic and tool invocation. To install it, run `dsh plugin add dsh-motion-design` in the terminal and configure `dsh.profile.bundles` in the profile’s `package.json`. When using the plugin, simply invoke the tools it registers. Because the plugin runs locally, users are advised to review its source code and license themselves.

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dsh-mortgage-equal-principal: Equal Principal Mortgage Calculator

DSH Harness provides a plugin architecture for extensibility. This article introduces the `dsh-mortgage-equal-principal` plugin, which focuses on equal-principal mortgage calculations. Implemented in pure Node.js without network requests, it supports offline execution and returns precise calculation results. Users can install it with the `dsh plugin add` command, provided that the required core dependencies are satisfied; reviewing the source code for security before use is also recommended.

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dsh-mortgage-equal-installment: Equal Installment Mortgage Calculator

The `dsh-mortgage-equal-installment` plugin for DeepSeek Harness (DSH) is an equal-installment mortgage calculator implemented purely in Node. It works offline and accurately calculates monthly payments and repayment schedules through local utility functions. Developers can install it by running the specified command; the plugin runs with the permissions of the current process and is released under the MIT open-source license.

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dsh-morse: Morse Code Encoding and Decoding

`dsh-morse` is a local Morse code encoder/decoder plugin for DeepSeek Harness (DSH). Built with Node.js, it performs conversions locally without requiring an internet connection or relying on third-party services. Users can install it using the `dsh plugin add` command and invoke it directly within DSH sessions. It is suitable for development and debugging in offline environments. Note that it runs with the current process's permissions, so it is recommended to review its source code before use.

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dsh-mood-log: Mood Logging and Suggestions

`dsh-mood-log` is a pure Node memory plugin for DeepSeek Harness, designed to record users' emotional states during conversations and generate suggestions. The plugin has no network dependencies and, through the `mood_log` tool, supports logging entries based on mood parameters and returning reference suggestions. Developers can install it using official commands without additional configuration. It is suitable for integration into emotion-aware conversation flows, but its suggestions are for reference only and do not constitute medical advice.

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dsh-mode: Mode

dsh-mode is an open-source plugin for DeepSeek Harness (DSH), maintained by uckkk. It focuses on model inference and is released under the MIT License. Developed with Node.js, the plugin requires no network access and is suitable for local deployment. After installation, it registers the relevant tools, which developers can call directly within a session. Before use, ensure that the environment meets the required dependencies, and note that the plugin runs with the permissions of the current process.

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DeepSeek Harness Plugin: dsh-mobius (Möbius Function)

`dsh-mobius` is a pure Node.js implementation plugin for DeepSeek Harness (DSH), centered around the “Möbius function.” It has no network dependencies and provides local session interaction capabilities. Installation requires the `cordis` and `dsh-tools` dependencies, and it can be loaded via `dsh.bundle.patch` configuration. The plugin is suitable for network-sensitive scenarios or local-only resource environments, and requires attention to permissions and the source code license during runtime.

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DeepSeek Harness Plugin: dsh-mite-removal

The DSH plugin `dsh-mite-removal`, maintained by uckkk, focuses on providing precise mite-removal recommendations. Implemented in pure Node.js with no network dependencies, it is suitable for offline or restricted environments. Installation requires specific dependency versions, and once successful, it registers a tool named `mite_removal` in the session, allowing developers to obtain clear mite-removal recommendations by passing parameters and achieve a closed logical loop.

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dsh-minify: JS/CSS/HTML Code Minification

dsh-minify is a local code compression plugin for DeepSeek Harness (DSH) workflows. Maintained by uckkk, it supports minifying JS, CSS, and HTML without internet access or calling external services. Install it with `dsh plugin add dsh-minify`, and enable it in `dsh.profile.bundles` in `package.json`. Ensure that `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools` are installed in the environment when using it. Please review the source code before installation.

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dsh-mini-store: Minimalist Storage Rules

`dsh-mini-store` is a DeepSeek Harness (DSH) plugin maintained by uckkk, designed to provide a minimal state management solution. Fully implemented with Node.js and free of web dependencies, its core feature is a minimalistic keep/discard mechanism driven by parameters, which simplifies storage logic. Developers can install it with the `dsh plugin add` command and enable it simply by invoking its tools in a session. Since the plugin runs with the current process’s permissions, its source code and MIT license should be reviewed before use.

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dsh-min: DeepSeek Harness Minimal Plugin

`dsh-min` is a DeepSeek Harness plugin maintained by uckkk, designed to provide tools that do not rely on external network resources for local or offline inference scenarios. Implemented in pure Node.js, it can be invoked directly in DSH sessions after installation. It depends on specific versions of DeepSeek-related libraries, is open-sourced under the MIT License, and runs with the permissions of the current process. Users should carefully review the source code logic and license terms before use.

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dsh-mime: MIME Type Query Plugin

dsh-mime is a local plugin for DeepSeek Harness (DSH), designed to address the need to query file MIME types during intelligent agent development. It is implemented purely in Node, allowing fast local queries without calling external interfaces or relying on the network. To install it, run `dsh plugin add dsh-mime` and configure it in the profile's `package.json`. After enabling it, it can be used by directly invoking the corresponding tool during a conversation. Because it runs third-party code locally, it is recommended to review the source code before use.

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