dsh-human-food: Human Food Feeding

The "dsh-human-food" plugin in DeepSeek Harness (DSH) helps determine whether human food is suitable for pets. Built in pure Node.js with no network dependencies, it takes food parameters as input and returns clear recommendations. Developers can install it via a command in the DSH environment and call it directly to obtain feeding reference information. Please note that the recommendations are for reference only; consult a veterinarian for your pet's health.

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dsh-hotel-tax: Hotel Tax Calculation

The `dsh-hotel-tax` plugin is maintained by uckkk and specifically designed for the DeepSeek Harness ecosystem to address the complexity and error-prone nature of hotel booking tax calculations. Implemented in pure Node.js, it accurately calculates taxes based on parameters and returns detailed results without any network requests. The installation command is `dsh plugin add github:uckkk/dsh-hotel-tax`. It requires the runtime dependencies `@deepseek-ai/cordis` (^4.0.1) and `@deepseek-ai/dsh-tools` (>=0.1.0-rc.6), and is licensed under the MIT License. It provides agents with a standardized tax calculation interface that can be called directly in DSH sessions.

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DSH Plugin: dsh-hongkong-city (Fetching Hong Kong City Information)

`dsh-hongkong-city` is a DeepSeek Harness (DSH) plugin maintained by uckkk. It provides agents with basic information about Hong Kong City. Implemented in pure Node.js with no external network requests, it returns data locally. The plugin registers the `city_info` tool and is suitable for scenarios requiring immediate and stable access to Hong Kong City information. The installation command is `dsh plugin add github:uckkk/dsh-hongkong-city`, and it is licensed under the MIT License.

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dsh-hike-train: Generate Hiking Plans Based on Parameters

The `dsh-hike-train` plugin for DeepSeek Harness (DSH) is designed to provide hiking training plan generation capabilities for outdoor sports agents. Implemented entirely in Node.js with no network dependencies, the plugin is maintained by uckkk. Before use, ensure the environment dependencies `@deepseek-ai/cordis` (v4.0.1+) and `@deepseek-ai/dsh-tools` (v0.1.0-rc.6+) are satisfied. Users can install it with the command `dsh plugin add github:uckkk/dsh-hike-train`; after installation, the `hike_train` tool can be invoked to generate hiking plans. The plugin is released under the MIT license, and reviewing the source code before deployment is recommended.

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dsh-hero-product: Traffic-Driving Bestseller Pricing Tool

`dsh-hero-product` is a pure Node.js plugin for DeepSeek Harness (DSH) used to calculate pricing for traffic-driving bestsellers locally without network dependencies. It supports precise calculations and returns detailed results, making it suitable for scenarios requiring custom calculation logic. Installation requires specific dependency versions. Once enabled, it can be invoked through the `hero_product` tool. It is recommended to review the source code before use to confirm the logic.

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dsh-herb-warn: Herbal Diet Contraindications

`dsh-herb-warn` is a DeepSeek Harness plugin maintained by uckkk, focused on providing agents with offline traditional Chinese medicine wellness plans. It provides the `herb_warn` tool, which supports generating contraindication management plans for medicinal diets based on specified parameters. Users can install it using official commands, and it is recommended to review the source code and license before use.

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dsh-heatstroke: Heatstroke First Aid Plugin

`uckkk/dsh-heatstroke` is a lightweight, network-independent plugin designed specifically for DeepSeek Harness (DSH). Implemented in pure Node.js, it provides a `heatstroke` tool that returns key first-aid steps for heatstroke in different scenarios. The plugin aims to address the challenge of obtaining first-aid information in offline environments for agents. Once installed, it can be invoked in a session, but users should note the plugin’s runtime permissions and the disclaimer that the first-aid content is for reference only.

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dsh-habit-anchor: Habit Stacking Plugin

The DSH Harness plugin `dsh-habit-anchor` is designed to address the need for a "habit stacking" ritual in agent configuration. Maintained by developer uckkk, its core features include a pure Node.js implementation, no network dependencies, and support for offline generation of habit suggestions returned based on parameters. The installation command is `dsh plugin add github:uckkk/dsh-habit-anchor`. The plugin depends on the `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools` environments. It is suitable for developers who need locally generated habit suggestions and provides a lightweight solution for the DSH ecosystem.

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dsh-guyana: A Pure Node.js Plugin with No Network Dependencies

The core design philosophy of DeepSeek Harness (DSH) is “everything is a plugin.” `dsh-guyana` is a DSH plugin maintained by developer uckkk, intended to provide a lightweight solution implemented purely in Node.js with no external network dependencies. It primarily serves scenarios that require running localized logic in offline or network-restricted environments. Once installed, the plugin runs with the permissions of the current DSH process; users are advised to review the source code and license before use.

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dsh-group: Array Grouping Plugin for DeepSeek Harness

DeepSeek Harness (DSH) offers a lightweight array grouping plugin, `dsh-group`. Built on pure Node.js with no network dependencies, it helps developers group list or array data based on specific conditions. Users can install it via a command and directly invoke its features in workflows. The plugin is open source under the MIT License and is suitable for scenarios involving list data processing.

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dsh-future-gene-editing: The Future of Gene Editing

dsh-future-gene-editing is a Node.js-based DeepSeek Harness plugin that provides localized search for "Future Gene Editing" entries. It does not depend on network requests, supports offline use, and includes the `list_gene` and `get_gene` tool functions for quickly querying entry lists and details. The plugin is available under the MIT License and is suitable for localized data-query scenarios in environments with strict network restrictions.

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dsh-future-emotional-ai: Local Emotional AI Query Plugin

`dsh-future-emotional-ai` is a DSH plugin developed by uckkk that focuses on querying local emotional AI data. Implemented entirely in Node.js, it can quickly retrieve entries offline using the `list_emotional-ai` and `get_emotional-ai` tools. Installation requires specific dependencies, and it is recommended to review the source code before installing to ensure security. This plugin provides a lightweight solution for data management in offline environments within the DSH ecosystem.

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DeepSeek Harness Embodied AI Plugin

This plugin provides embodied intelligence item management and query capabilities for DeepSeek Harness, implemented purely in Node.js with no network dependencies. Core features include `list_embodied` for listing items and `get_embodied` for retrieving details. Once installed, the tool is automatically available, runs with the permissions of the current process, and the source code is licensed under MIT.

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dsh-future-digital-human: Digital Human Toolkit

The DSH plugin `dsh-future-digital-human` is a tool for managing digital human data, supporting queries for digital human lists and details. It is built on a plugin-based architecture, implemented entirely in Node.js, and has no network dependencies. Install it with `dsh plugin add github:uckkk/dsh-future-digital-human`. Before use, ensure that `@deepseek-ai/cordis` (^4.0.1) and `@deepseek-ai/dsh-tools` (>=0.1.0-rc.6) are available.

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dsh-future-climate-engineering: DeepSeek Harness Climate Engineering Data Query Plugin

`dsh-future-climate-engineering` is a DeepSeek Harness plugin maintained by uckkk, designed to provide structured data support for climate engineering entries. It provides two core tools: `list_climate-eng` for listing entries and `get_climate-eng` for querying details. The plugin is implemented in pure Node.js without external network dependencies. Installation requires ensuring that the environment meets the runtime dependencies of `@deepseek-ai/cordis` (>= 4.0.1) and `@deepseek-ai/dsh-tools` (>= 0.1.0-rc.6), and that it runs with the current DSH process permissions.

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dsh-flower-pick: Flower Selection

`dsh-flower-pick` is a playful dress-up plugin for DeepSeek Harness (DSH), designed to address the need for generating floral arrangement proposals. Its core feature is `flower_pick`, which returns recommended arrangements based on parameters. It is maintained by uckkk, implemented purely in Node.js, and has no network dependencies. The installation command is `dsh plugin add github:uckkk/dsh-flower-pick`, after which it can be invoked in a session. Users should review the source code and license; see the GitHub repository for more details.

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dsh-flower-color: Floral Design Color Scheme

`dsh-flower-color` is a floral color scheme plugin under the DeepSeek Harness (DSH) ecosystem, maintained by `uckkk` and released under the MIT License. It is mainly used to return floral arrangement schemes based on parameters. It has no network dependencies and must be used with `@deepseek-ai/cordis ^4.0.1` and `@deepseek-ai/dsh-tools >=0.1.0-rc.6`. The installation command is `dsh plugin add github:uckkk/dsh-flower-color`. After installation, its registered tools can be invoked in a session.

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dsh-flower-care: Fresh Flower Care Plan Generator

`dsh-flower-care` is a DeepSeek Harness (DSH) plugin maintained by uckkk, positioned as a flower-care tool. Its core capability is to generate floral arrangement designs and care recommendations based on specified parameters. The plugin is implemented in pure Node with no network dependencies, supports offline operation, and has relatively high execution efficiency. Users can install it via the `dsh plugin add github:uckkk/dsh-flower-care` command and invoke it within a session. Note that permissions should be considered during use; it is recommended to review the source code and the MIT license before installation.

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dsh-flour-swap: Flour Substitution Calculation Plugin

`dsh-flour-swap` is a flour substitution calculation plugin for DeepSeek Harness (DSH). Maintained by user `uckkk`, the plugin supports precise parameter-based calculations and returns detailed results. It is implemented in pure Node.js and does not rely on external network requests. The installation command is `dsh plugin add github:uckkk/dsh-flour-swap`. Before using the plugin, ensure that the environment has `@deepseek-ai/cordis` version `^4.0.1` and `@deepseek-ai/dsh-tools` version `>=0.1.0-rc.6` installed. It follows the MIT License and is designed to address numerical calculation needs in specific domains.

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DeepSeek Harness Plugin: uckkk/dsh-float-setup (Getting Started with Float Rigging)

DeepSeek Harness (DSH) plugin `uckkk/dsh-float-setup` is a pure Node.js tool for fishing float adjustment. It directly returns practical float-tuning solutions based on parameter input, with no network dependency. Users can install it using the `dsh plugin add` command, provided that specific dependency requirements are met. The plugin provides specific niche-feature support for DSH and is released under the MIT license.

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dsh-flight-pick: A Flight Selection Tool That Returns Travel Itineraries Based on Parameters

`dsh-flight-pick` is a flight selection plugin maintained by uckkk, designed to provide parameterized travel planning solutions for DeepSeek Harness (DSH) agents and simplify the development workflow. By registering the `flight_pick` tool, the plugin enables flight query functionality without developers having to build the underlying logic themselves. Installation requires specific dependency versions and can be added via the command line. As a pure Node.js implementation, it requires no network dependencies. Developers can invoke the tool directly in a session, making it suitable for agent scenarios that need quick integration of travel planning features.

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dsh-feed-rule: Return Aquatic Care Plans Based on Parameters

`dsh-feed-rule` is an “Everything is a Plugin” aquarium care solution plugin for DeepSeek Harness (DSH). Built with pure Node.js, it calculates and returns feeding rules locally based on parameters without internet access, making it well suited to privacy- and stability-focused scenarios. Installation only requires running the specified command; after enabling, invoke the `feed_rule` tool to use it. Before use, note the environment dependencies and source-code security/license considerations.

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dsh-fear-pet: A Fear-Mitigation Tool That Returns Behavioral Correction Suggestions Based on Parameters

dsh-fear-pet is a DSH plugin maintained by uckkk, designed to provide lightweight behavioral correction suggestions. It runs entirely locally with no network dependencies, and its core function is to return specific correction recommendations based on input parameters. Once installed, its registered tool can be invoked during a session, making it suitable for scenarios that require behavioral review or correction of specific inputs. Before use, ensure the environment meets the relevant dependency requirements.

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dsh-fatigue: Fatigue Self-Assessment Plugin

`dsh-fatigue` is a lightweight home health self-check plugin for DeepSeek Harness (DSH). It can be integrated with simple configuration, requires no network requests, and supports running fatigue self-assessments locally to return results. Built with pure Node.js and depending on the DSH core library, it is well suited for integrating health self-check logic in offline environments.

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dsh-family-gather: Generating Family Holiday Preparation Plans

`dsh-family-gather` is a plugin designed specifically for family gathering scenarios within the DeepSeek Harness (DSH) ecosystem. Implemented in pure Node.js with no network dependencies, it automatically generates holiday preparation plans based on user parameters through the `family_gather` tool. Installation is simple, requiring only a single command to take effect without additional configuration. It is suitable for quickly generating family activity plans within a conversation flow, but users should note the dependency version requirements and environment permissions.

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