dsh-san-marino: San Marino

`dsh-san-marino` is a pure Node.js plugin for DeepSeek Harness (DSH), designed to provide local logic processing capabilities for agent development without network requests. It is suitable for use in restricted or offline environments and can be installed with the `dsh plugin add github:uckkk/dsh-san-marino` command. It depends on `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools` and should be run with the process's current permissions.

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dsh-salary-per-hour: Hourly Wage Calculation Plugin

`dsh-salary-per-hour` is a lightweight hourly wage calculation tool in the DeepSeek Harness (DSH) plugin ecosystem. Maintained by uckkk and implemented in pure Node, it has no network dependencies. Its core function is to register the `salary_per_hour` tool, which precisely calculates and returns detailed salary conversion results. Installation requires satisfying the version requirements for `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools`. To use it, users simply need to invoke the tool within a session. The plugin is licensed under the MIT License, and it is recommended to review the source code before installation to ensure environment security.

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DeepSeek Harness Plugin: Payroll Deduction Limit

`dsh-salary-deduction-limit` is a DeepSeek Harness plugin for calculating salary deduction limits precisely based on provided parameters. It is implemented purely in Node.js, requires no network requests, and can return both calculation results and relevant legal references. It is easy to install, and once installed, it can be invoked directly within DSH sessions. Developers should note that the plugin runs with the permissions of the current process, so its source code should be reviewed for security before use.

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dsh-safe-shutter: Introduction to the Safe Shutter Plugin

The DSH plugin `dsh-safe-shutter` is a Node.js-based, fully local tool for accurately calculating safe shutter speed in agent development. It requires no internet connection and can be invoked directly in a session after installation. Developers should review its source code and license.

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dsh-running-pace: Running Pace Calculation Tool

dsh-running-pace is a Node.js-based DSH plugin for accurately calculating running pace in conversations. It supports pace estimation based on distance and time, requires no network requests, and returns detailed, privacy-preserving results, though the output is an estimate only and does not provide medical advice. Users can install it via the terminal and directly invoke the tool in a DSH session.

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dsh-run-recover: Running Recovery Tool

The `dsh-run-recover` plugin for DeepSeek Harness (DSH) provides the capability to generate running recovery training plans locally. It is maintained by uckkk, implemented in pure Node, and requires no network dependencies. Developers can install it using the `dsh plugin add` command and use its tool interface to retrieve running plans customized according to parameters. Before installation, ensure that the versions of `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools` meet the requirements; the plugin runs with the permissions of the current process and is suitable for agent development in offline scenarios.

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DeepSeek Harness Plugin: dsh-run-prevent

DeepSeek Harness (DSH) introduces a plugin architecture to address the need for agents to execute specific business logic. `dsh-run-prevent` is an internet-connected plugin maintained by uckkk, whose core capability is to return running training plans based on input parameters. Developers can install it using terminal commands and invoke the tool within a session to provide agents with running training plans. The plugin runs with the permissions of the current process; developers are recommended to review its source code and license before use.

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dsh-rug-pick: Home Rug Styling Solutions

DeepSeek Harness (DSH) has released a home soft furnishings pairing plugin named `dsh-rug-pick`. Implemented in Node.js, it requires no network dependencies and can return soft furnishings pairing suggestions, such as rug options, based on provided parameters. Users can install and invoke it directly via the official command. The plugin runs with the current process's permissions, so it is recommended to review the source code and license before use. It provides foundational home styling capabilities for the DSH ecosystem.

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dsh-routine: Skincare Routine Steps Plugin

dsh-routine is an open-source plugin for DeepSeek Harness (DSH) that focuses on local logic evaluation for facial skincare routines. It does not rely on external network interfaces and directly generates skincare plans based on parameters via the registered `routine` tool. Implemented in pure Node.js, it features low resource usage and fast execution. Installation requires compliance with specific peerDependencies version requirements, making it suitable for handling skincare logic within DSH workflows.

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dsh-road-trip-cost: Road Trip Cost Estimation

The DeepSeek Harness plugin `dsh-road-trip-cost` provides a local solution for calculating road trip costs without requiring network access. It supports accurate estimation of trip costs based on parameters and returns detailed results. The installation command is `dsh plugin add github:uckkk/dsh-road-trip-cost`. Before use, ensure that the environment dependency versions meet the requirements.

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dsh-rig-pick: DSH Plugin for Returning Practical Fishing Rig Plans Based on Parameters

dsh-rig-pick is a DSH plugin maintained by uckkk, classified under the Fun Dress-Up category. It is implemented entirely in Node.js and primarily returns practical fishing rig setups based on input parameters, without requiring network access. Before use, ensure the dependencies `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools` are installed. After installing it with `dsh plugin add github:uckkk/dsh-rig-pick`, you can invoke the tool in a conversation to generate fishing rig configurations.

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dsh-ride-train: Ride Training Plan Generation

`dsh-ride-train` is a localized cycling training plan generation plugin designed specifically for DeepSeek Harness (DSH). It is fully implemented in Node.js and does not depend on external network requests, aiming to address latency and stability issues in specific scenarios. Before installation, specific version requirements for `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools` must be met. At runtime, the plugin executes with the permissions of the current process, making it suitable for offline or low-latency environments and providing a lightweight, secure, localized solution.

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dsh-rice-water: Rice-to-Water Ratio Calculator

The DeepSeek Harness plugin `dsh-rice-water` is designed specifically for calculating rice-to-water ratios for cooking rice. Maintained by uckkk, it is implemented in pure Node and returns accurate results based on parameters without requiring network dependencies. Users must first meet the specific environment dependencies and execute the installation command. The plugin is suitable for quickly handling everyday cooking calculations in a DSH environment, serving primarily as a lightweight, practical utility.

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DeepSeek Harness Plugin: dsh-rice-cooker (Rice Cooker Solution Generation)

`dsh-rice-cooker` is a DSH plugin maintained by `uckkk`, designed as a rice-cooker solution generator. Implemented entirely in Node with no network dependencies, it provides a `rice_cooker` tool that returns usage guidance for small kitchen appliances. After installation via `dsh plugin add`, developers can invoke this tool during a conversation to quickly obtain a solution, reducing the need for repeated development. Users should review the source code and license before use.

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dsh-revenue-plan: Sales Target Decomposition

dsh-revenue-plan is a local sales target breakdown plugin that runs within DeepSeek Harness. It implements calculation functionality in pure Node.js with no network dependencies, ensuring privacy and precision. Users can install it via command and use its registered `revenue_plan` tool to perform sales parameter calculations and target breakdowns directly within a session. The plugin is suitable for integration into sales automation workflows, and reviewing the source code before use is recommended to ensure compliance.

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dsh-return-gift: Return Gift Budget

`dsh-return-gift` is a DeepSeek Harness plugin that precisely calculates return-gift budgets without network requests. Implemented in pure Node.js, the plugin provides parameter-based computation and detailed result output. Installation requires compatibility with the specified versions of `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools`. It runs with the permissions of the current process, and developers are advised to review its source code and license before enabling it.

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dsh-retro: Scenario-Based Structured Retrospective Method

`dsh-retro` is a pure Node workflow plugin for DeepSeek Harness (DSH), focused on providing developers with scenario-based structured retrospective methods. It requires no network dependencies and helps users quickly organize their thinking through suggestions categorized by scenario. The plugin supports offline operation and specifies its dependency version requirements.

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DeepSeek Harness Plugin: dsh-rest-time (Rest Time Between Sets Calculation)

`dsh-rest-time` is a pure Node.js plugin designed specifically for DeepSeek Harness to automatically and accurately calculate inter-group rest periods within workflows. It has no network dependencies, can be added via an install command, and depends on the `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools` environments. It runs with the current process permissions, so its permission scope should be carefully considered. It is well suited to local workflows, where detailed calculation results can be obtained by invoking the registered tool.

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dsh-repurchase: DeepSeek Harness Repurchase Rate Calculation Plugin

The `dsh-repurchase` plugin, released by DeepSeek Harness (DSH) and maintained by uckkk, is open-sourced under the MIT license. It is designed to calculate repurchase rates in offline environments without network access, performing precise calculations based on specified parameters and returning the results. Implemented in pure Node.js with no network dependencies, it requires `@deepseek-ai/cordis ^4.0.1` and `@deepseek-ai/dsh-tools >=0.1.0-rc.6`. Users can install it via a command and invoke the registered tool during a session.

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DeepSeek Harness Plugin: dsh-reptile-iguana (A Tool for Returning Complete Iguana Profiles and Individual Queries)

DeepSeek Harness (DSH) provides a lightweight local data query tool, `dsh-reptile-iguana`, for retrieving iguana biological information. The plugin offers two tools: `reptile_info` (for retrieving complete profiles) and `reptile_field` (for field-specific queries). It requires no external network or database and can be installed and enabled using the `dsh plugin add` command. Designed for building agents that include a specific knowledge base or for localized data testing, it is implemented in pure Node.js and relies on the permissions of the current DSH process at runtime.

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dsh-repotting: Repotting Recommendations

DeepSeek Harness (DSH) aims to realize the "everything is a plugin" development philosophy. For plant care scenarios, community developer uckkk maintains the `dsh-repotting` plugin, which provides repotting guidance. The tool is implemented in pure Node.js, requires no network requests, and outputs recommendations by registering the `repotting` tool. The installation command is `dsh plugin add github:uckkk/dsh-repotting`. It runs with the permissions of the current process during use, so users should check the source code and license. The plugin depends on a specific version of the DeepSeek library and is suitable for users who need automated plant care recommendations.

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dsh-repot-check: Repotting Detection

The `dsh-repot-check` plugin for the DeepSeek Harness (DSH) is designed specifically for plant care scenarios. Its core functionality is to determine through logical evaluation whether a plant needs to be repotted and to provide a care plan. Implemented in pure Node.js with no network dependencies, the plugin aims to provide the DSH ecosystem with lightweight local tooling support. Installation requires ensuring environment version compatibility, and the plugin is released under the MIT open-source license.

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dsh-repo-health: Check Project Best Practices and Generate a Health Check Report

`dsh-repo-health` is a DeepSeek Harness plugin for automatically checking whether a repository complies with best practices. The plugin is implemented entirely in Node.js and requires no network access. It uses the `health_check` tool to check key files such as README, LICENSE, tests, and CI, and returns the results along with remediation suggestions. Users need to install the plugin in DSH and enable it in `package.json`. When using it, note that the plugin runs with the permissions of the current process, so review its source code and ensure the required dependencies are installed.

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dsh-repeat: Repeat a String

`dsh-repeat` is a local string repetition plugin for DeepSeek Harness (DSH). Developed by user `uckkk`, it is a pure Node.js implementation that generates repeated text locally without network requests, such as for test data. The plugin depends on `@deepseek-ai/cordis`, is released under the MIT License, and is installed using the `dsh plugin add` command. It is suitable for workflow scenarios that require quickly generating repetitive content.

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dsh-rental-yield: Rental Yield Calculation Plugin

The `dsh-rental-yield` plugin for DSH is designed to provide agents with rental yield calculation capabilities through a modular architecture, removing the need for custom development and addressing the error-prone nature and high maintenance costs of hand-written logic. Built with pure Node.js and free of network dependencies, it can run securely in local or restricted environments. Developers can install it via the `dsh plugin add` command and call the `rental_yield` tool directly within a session to obtain calculated results. The plugin is suitable for developers who need to integrate real estate financial analysis logic and serves as a standard interface for simplifying rental evaluation processes.

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