dsh-password: Generating Strong Random Passwords and Detecting Password Strength

The DeepSeek Harness (DSH) plugin `dsh-password` provides strong random password generation and strength detection for agents and automation scripts. Maintained by istone, it supports generating strong passwords of a specified length, detects password strength and information entropy, and provides improvement suggestions. Users can install and configure it via the command line and call functions such as `generate_password(length=20)` in their scripts. Installation runs third-party code on your local machine; please review the source code.

Read More
dsh-pass-strength: Password Strength Detection Plugin

The DSH plugin dsh-pass-strength is maintained by developer uckkk and is designed to meet the need for local, instant password strength calculation in DeepSeek Harness (DSH). Its core function is to accurately calculate password security levels and provide suggestions. It is fully implemented locally with Node.js, without relying on external APIs, ensuring fast responses. It supports one-click installation via official commands and is mainly applicable to management and security DSH applications. It depends on @deepseek-ai/cordis and @deepseek-ai/dsh-tools, and its code is open-sourced under the MIT license.

Read More
dsh-paint-care: Paint Care Calculation Plugin

The DeepSeek Harness (DSH) plugin dsh-paint-care is maintained by uckkk and aims to enhance agents with parameter-driven precise calculation capabilities. Focused on paint finish care scenarios, it provides locally executed parameterized calculations and clear maintenance recommendations. Users can install it via a command and, once enabled, invoke its tools within their sessions. The plugin runs with the current process privileges, is licensed under MIT, and its source code is available.

Read More
dsh-packing-list: A Tool That Returns a Clearly Recommended Packing List Based on Parameters

The DSH plugin dsh-packing-list, maintained by uckkk, is a Node.js tool plugin focused on providing packing suggestions. It does not rely on network requests and uses the `packing_list` tool to return clear list content based on input parameters. Users can install it with the command `dsh plugin add github:uckkk/dsh-packing-list`; after installation, an agent can directly invoke this capability within a session. The plugin is suitable for integration into agent workflows that require generating travel or item lists. Before use, it is recommended to review the source code and license.

Read More
dsh-pack-skill: A Packaging Tips Plugin for DeepSeek Harness

The `dsh-pack-skill` plugin for DeepSeek Harness (DSH) is implemented in pure Node.js and is designed to generate packaging or relocation plans directly via parameters, without network dependencies. Maintained by the community, it is installed using the `dsh plugin add` command and depends on a specific version of the DeepSeek tool library. After installation, users can invoke the registered `pack_skill` tool in a session to execute local packaging logic, making it suitable for DSH workflow scenarios that require integrating this capability.

Read More
dsh-pace-calc: Pace Calculation

dsh-pace-calc is a lightweight local plugin for DeepSeek Harness, maintained by developer uckkk. It focuses on running pace calculations, requires no network access, and is implemented purely in Node.js. Its core features include converting distance and time into pace (minutes per kilometer) and speed (kilometers per hour), supporting arbitrary inputs. Users can install it via npm and call the `pace_calc` function during a session (for example, `pace_calc(5, 30)`) to quickly obtain the calculated result. The plugin is open source under the MIT license.

Read More
dsh-oxygen: DeepSeek Harness Oxygen Element Query Plugin

dsh-oxygen is an oxygen element data lookup plugin for the DeepSeek Harness (DSH). It does not require network access and supports retrieving complete chemical data via `element_info` or extracting specific fields on demand via `element_field`. The plugin is maintained by uckkk, licensed under the MIT License, and requires specific version dependencies.

Read More
dsh-overtime-pay: Overtime Pay Calculator

The DeepSeek Harness plugin `dsh-overtime-pay` is designed specifically for accurately calculating overtime pay and is maintained by developer uckkk. It is a pure Node.js local implementation that requires no network connection and can be installed with the command `dsh plugin add github:uckkk/dsh-overtime-pay`. The plugin registers the `overtime_pay` tool, which returns detailed calculation results based on the provided parameters. Before use, please review the source code and license (MIT).

Read More
dsh-overtime-limit: Overtime Duration Compliance Validation Plugin

`dsh-overtime-limit` is a pure Node.js plugin for DeepSeek Harness, designed to address working-hours compliance checking requirements. With no network dependencies, the plugin registers the `overtime_limit` tool, enabling callers to precisely calculate overtime hours based on parameters and return detailed compliance results with cited legal provisions. It is released under the MIT license and is suitable for use in automated compliance checking scenarios.

Read More
dsh-oven-temp: Oven Temperature: Parameter-Based Baking Execution Plans

The DeepSeek Harness plugin `dsh-oven-temp` is designed to provide agents with baking temperature guidance capabilities, following the "everything is a plugin" philosophy. Implemented in Node.js and with no network dependencies, it supports returning specific, practical baking plans in a parameterized manner. Users can install it via a terminal command and invoke the `oven_temp` tool during a session to obtain recommendations. The project is released under the MIT license and is suitable for use in network-restricted environments.

Read More
dsh-one-rep-max: DeepSeek Harness 1RM Estimation Plugin

The `dsh-one-rep-max` plugin for DeepSeek Harness (DSH) follows the “Everything is a Plugin” philosophy and provides agents with a localized 1RM (one-repetition maximum) estimation capability. Maintained by user `uckkk`, it supports precise calculations without network dependencies, ensuring efficient operation in offline or unstable network environments. Developers can install it using the specified command, and once enabled, related tools can be invoked directly in a session. Before installation, the source code, license, and dependency versions should be reviewed.

Read More
dsh-omit: Ignoring Fields

`dsh-omit` is a plugin for DeepSeek Harness (DSH), maintained by uckkk. It is implemented in pure Node.js and has no network dependencies. As a workflow plugin, it supports field filtering and data cleaning for input data. Users can install it with `dsh plugin add github:uckkk/dsh-omit` and invoke its tools in a session. This plugin is suitable for scenarios requiring the exclusion of sensitive information or simplification of output structures, and can be integrated into workflows with fine-grained control over data flows.

Read More
dsh-okr-split: OKR Goal Breakdown

`dsh-okr-split` is a lightweight plugin for DeepSeek Harness (DSH) that focuses on local OKR goal decomposition. Maintained by `uckkk` and built with pure Node.js, it requires no network requests. It provides the `okr_split` tool, which performs precise calculations based on input parameters and returns detailed results. Users can install and enable it using the official command, making it suitable for developers who need to integrate local OKR decomposition logic into DSH sessions.

Read More
dsh-oil-change: Oil Change Interval Calculation

`dsh-oil-change` is a local plugin in DeepSeek Harness (DSH) focused on calculating oil change cycles for vehicle maintenance. It is written entirely in Node.js, does not require network access, and can run offline to ensure fast response times and data privacy. The plugin depends on specific versions of Peer Dependencies and, once installed, its `oil_change` tool can be called directly in a session for precise calculations. The tool runs with the current process permissions and is licensed under the MIT License.

Read More
dsh-office-comm: Parameter-Based Office Communication Etiquette Solutions

dsh-office-comm is a Node.js plugin for DeepSeek Harness that locally generates workplace communication etiquette plans based on parameters. It has no external network dependencies, is easy to install, and is suitable for agents handling high-frequency communication scenarios. It requires a specific environment, follows the MIT license, and developers can access its source code on GitHub.

Read More
dsh-odor-removal: Odor Removal Plugin

The DSH Harness (DSH) plugin `dsh-odor-removal` is a local computation tool for odor removal. Implemented in pure Node.js with no network request dependencies, it precisely calculates and returns recommendations based on the provided parameters. Installation requires specific dependency versions and is suitable for offline scenarios. Maintained by developers and released under the MIT license, it provides a lightweight odor management solution.

Read More
dsh-octal: Octal Conversion

The DeepSeek Harness (DSH) plugin `dsh-octal` is designed to provide agents with local octal number conversion capabilities that do not rely on external services. Maintained by `uckkk`, the plugin is implemented in pure Node.js and requires no network requests. It can be installed using `dsh plugin add github:uckkk/dsh-octal`, and used by directly invoking the registered tool. Users should ensure that the environment includes the `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools` dependencies, and note that the plugin runs with the permissions of the current process. It is suitable for scenarios sensitive to network dependencies or where local processing is required.

Read More
dsh-objection: Objection Handling Plugin

`dsh-objection` is a DeepSeek Harness plugin maintained by `uckkk`, designed to address logical gaps that agents may encounter when handling user objections. Built with pure Node.js and requiring no network dependencies, it provides structured objection-handling approaches and recommendations tailored to specific scenarios. It depends on DeepSeek-related toolkits and is suitable for users who need to implement stable response strategies in development use cases.

Read More
dsh-nitrite-safe: Nitrite Safety Plugin

`dsh-nitrite-safe` is a Node.js plugin for DeepSeek Harness (DSH), maintained by uckkk. It focuses on curing safety and provides nitrite-related solutions through purely local computations without relying on the network. It depends on specific versions of `@deepseek-ai/cordis` and `@deepseek-ai/dsh-tools`. Users can install it with the official command and, once installed, use it by directly invoking the registered tools in a session. The plugin runs with the current process’s permissions; we recommend reviewing its source code and MIT license before installation.

Read More
dsh-next-prime

The DeepSeek Harness (DSH) plugin dsh-next-prime is a model inference tool implemented purely in Node.js, focused on calculating the next prime number. It requires no network dependencies, relies only on the DSH core, and runs with the current process permissions. Users can install it via terminal commands and invoke its functionality directly in a DSH session. This plugin embodies DSH's design philosophy of "everything is a plugin."

Read More
dsh-newborn-care: Newborn Care Plugin

The DSH plugin `dsh-newborn-care` focuses on providing newborn care recommendations. Implemented entirely in Node.js, it requires no network access and supports returning specific care plans through parameters. Developers can install it using the `dsh plugin add` command and invoke it in a session without any configuration. When using it, be mindful of permission checks; its medical advice is for reference only, and users should follow professional medical guidance.

Read More
dsh-new-year-shop: New Year Shopping

`dsh-new-year-shop` is a DSH plugin focused on generating offline home festival preparation plans. Developed with Node.js, it can return specific preparation plans based on configured parameters. The installation command is `dsh plugin add github:uckkk/dsh-new-year-shop`. Before use, check the source code and dependency permissions.

Read More
dsh-new-year-menu: New Year's Eve Dinner Menu and Family Holiday Preparation Plan

This plugin is maintained by user uckkk and focuses on family holiday preparation needs in DeepSeek Harness (DSH), with its core feature being New Year's Eve dinner menu generation. The tool is named new_year_menu, is implemented in pure Node.js, has no network dependencies, and runs with the current process permissions. The installation command is `dsh plugin add github:uckkk/dsh-new-year-menu`. After installation, it can be invoked directly in the conversation. Given its process-level execution permissions, it is recommended to review the source code and the MIT license before use. This plugin provides a vertical-scenario solution for the DSH ecosystem.

Read More
dsh-new-home-check: Generate Moving and Relocation Plans Based on Parameters

`dsh-new-home-check` is a plugin for DeepSeek Harness (DSH), maintained by uckkk. The tool is designed to generate a structured "relocation" or new environment setup plan for users via the `new_home_check` command. The plugin is implemented purely in Node with no network dependencies, making it suitable for planning migration steps in specific workflow scenarios. Users can install it with the `dsh plugin add` command and invoke it directly in a session.

Read More
dsh-neuter: Neutering Timing

DeepSeek Harness (DSH) extends its functionality through a plugin mechanism, and `dsh-neuter` is a tool for handling the "neutering timing" logic. Maintained by `uckkk`, this plugin provides a `neuter` tool, implemented purely in Node.js with no network dependencies, and returns recommendations based on input parameters. To use it, first install it by running `dsh plugin add github:uckkk/dsh-neuter`, and then invoke the `neuter` tool within the session. The plugin runs with the permissions of the current DSH process, so it is recommended to review the source code and MIT license before use.

Read More