Maestro Skills: A Unified Plugin Packaged for DSH and Multi-class AI Coding Agents

`ddtcorex/maestro-skills` is a unified skills repository that packs 31 skills into a general-purpose plugin compatible with multiple platforms such as DeepSeek Harness (DSH), Claude Code, and Codex CLI. The plugin includes 17 domain-specific skills (covering Magento 2, Laravel, Symfony, WordPress, and general PHP, based on the Govard environment) and 14 process skills (derived from `obra/superpowers` v6.3.0, covering brainstorming, TDD, debugging, etc., and licensed under the MIT license). In DSH, users can add it via the command `dsh plugin --profile web add github:d...

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dsh-vision-skill: Enabling DSH Pure Text Models with Image Recognition, OCR, and Object Localization

dsh-vision-skill is a standard vision plugin within the DSH ecosystem, developed by DDDFXYqiming and licensed under the MIT license. It aims to address the limitation that pure text models cannot directly process images. By registering a native `vision` runtime skill, the plugin enables text models to invoke local tools to perform functions such as image recognition, OCR, object localization, and dominant color analysis. Its core tools include: `vision_analyze` (supports 6 modes such as general, code, and evidence), `vision_ocr` (text extraction preserving layout), `vision_ground` (object localization returning coordinates), `vision_detect` (enumerating elements like buttons), and `vision_dominant_colors` (local computation).

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dsh-layered-memory: DSH Cross-Session Long-Term Memory Plugin

dsh-layered-memory is a cross-session long-term memory plugin for DeepSeek Harness (DSH), licensed under the MIT License, designed to address the issue of context loss following a session. The plugin persistently stores verified facts, task experiences, and environmental information on disk, supporting cross-session retrieval. Core features include L1-L3 layered memory, namespace isolation, BM25 full-text search, content deduplication, and cross-namespace experience enhancement. The plugin provides 14 memory tools, such as `memory_write` (mandatory evidence verification), `memory_search`, and `memory_index`, and supports progressive tool exposure. Consistency maintenance relies on deduplication, manual updates, and candidate merging; the system does not automatically detect contradictions, and it is strictly prohibited to physically discard verified facts, allowing only compression.

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dsh-annotation-patched: Cite assistant messages and respond point-by-point

dsh-annotation-patched is a browser-side enhancement plugin for DSH Web, maintained by DDDFXYqiming, and licensed under the MIT License. The plugin aims to address issues of context loss and unclear positioning that occur when manually copying and pasting assistant replies for follow-up questions. Its core functionality allows users to select text from assistant messages, generate quote blocks by clicking the "Quote" button, and send them together with their message. Upon receiving the message, the model responds item-by-item with numbering and includes expandable quote markers. The plugin utilizes an explicit single-button mechanism, supports the automatic cleanup of old quote blocks, and synchronizes the position of quote tags during multi-line input. Furthermore, it offers a local patch replay tool to facilitate replaying patches based on a manifest when upgrading the base, thereby generating new client files. Installation can be performed using the `dsh plugin` command from GitHub or a local directory.

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dsh-custom-logo: Replace favicon and sidebar logo for DSH Web

`dsh-custom-logo` is a lightweight plugin designed specifically for the DSH web platform, aiming to simplify the deployment of custom branding. Adhering to the "everything is a plugin" philosophy, this plugin allows users to upload just a single square image and a wide horizontal image to automatically replace the browser favicon and sidebar logo, without the need to manually prepare multiple resized assets or modify frontend resources. Upon installation, a "Brand Settings" section is added to the DSH settings, supporting both Chinese and English. Image processing is performed in the browser; changes take effect immediately after upload with an automatic page refresh, without requiring a service restart. Generated image files are written atomically to the `branding` folder within the user directory. Automatic cache clearing is implemented via dynamic CSS injection and URL versioning parameters to ensure custom configurations are preserved during upgrades. The installation command is `dsh plugin...

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dsh-image-pathify: Enabling DSH models without image capability to process chat images

dsh-image-pathify is an MIT-licensed plugin for DeepSeek Harness (DSH) Web, designed to address the need for models that cannot directly process images (such as deepseek-v4) to understand images in chats. By replacing images with local file paths before sending a message, the plugin prompts the model to invoke the built-in `analyze_image` tool to obtain textual descriptions using the configured OpenAI-compatible vision API. It supports passing multiple images at once and maintains original behavior for models that already support image recognition without exposing the relevant tools. Installation is simple: run `dsh plugin add dsh-image-pathify`, start the Web interface, and then configure the API key, vision model, and interface address in the settings page.

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dsh-my-go: DSH-based Multi-agent Orchestration Plugin for Sisyphus

dsh-my-go is an agent orchestration system built on top of DeepSeek Harness (DSH) and adopts the MIT license. The system unifies the management of 7 professional sub-agents (such as Hermes and Oracle) through the Sisyphus scheduler, adopting a star topology structure to ensure that only one sub-agent runs at any given time. Its core capabilities include flexibly configuring the provider, model, and reasoningEffort based on job types, supporting off-peak routing based on Beijing Time to optimize resource usage, and providing communication tools such as go_work as well as the Sisyphus quality control mechanism. Model configurations are verified before dispatch, and if they do not exist, they fall back to parent session routing. The system provides a WebUI settings page and a tree diagram panel for convenient visual management. Installation requires...

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dsh-web-search-searxng: Connect DSH's web search to self-hosted SearXNG

dsh-web-search-searxng is an independent plugin package for the DeepSeek Harness (DSH) web profile, designed to allow users to switch the backend of the `web_search` function to a self-hosted SearXNG instance, thereby eliminating dependency on external APIs. Built under the MIT license and developed using pure ESM modules, this plugin requires no build steps and can be installed and automatically activated via the simple `dsh plugin` command. In terms of configuration, it supports settings via environment variables `SEARXNG_BASE_URL` (default localhost:8888), `SEARXNG_NUM_RESULTS`, and the optional `SEARXNG_API_KEY`, and can also be configured directly...

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dsh-plugin-md-outline: DSH Markdown Outline and Structure Check Plugin

dsh-plugin-md-outline is a DeepSeek Harness (DSH) plugin maintained by d-ouyang. Written in pure ESM JavaScript and released under the MIT license, it requires no build steps. It aims to automate the resolution of structural issues in long Markdown documents by adding the `md_outline` tool, enabling the automatic output of the document title tree and structural checks. Core features include outputting an H1-H6 nested title tree with line numbers, as well as detecting heading level jumps, duplicate headings, H1 uniqueness issues, and unclosed code fences. The plugin supports three modes: `outline`, `lint`, and `both`. It allows limiting the outline depth via `maxDepth` and supports recursive scanning of directories.

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cwbcheng/dsh-knowledge-graph: Split document body, images, or conversation logs into a knowledge graph with bidirectional positioning.

`dsh-knowledge-graph` is a DSH Cordis plugin designed to transform section documents, images, or AI conversation history into structured knowledge graphs. It supports asynchronous splitting of body text (up to approximately 1 million characters) and images (1-4), utilizing multimodal models to extract visual semantics. The plugin generates 8 types of nodes and 12 types of relationships, providing bidirectional linking between the graph and the original text, as well as evidence verification and remediation functions. Users can question and correct content through quick health checks, AI auditing, and external fact-checking, ensuring every conclusion is bound to verifiable evidence citations. Furthermore, it supports incremental appending, chapter filtering, structured retrieval, and evidence-based Q&A, and allows export to PNG, JSON, or CSV formats. Installation requires cloning the repository and instructing the Agent to run the code within a DSH Web session. This plugin is pure JavaScript.

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Introduction to the DSH Command Optimization Plugin dsh-command-opt

`dsh-command-opt` is a slash command optimization plugin for DeepSeek Harness (DSH), designed to enhance the command usage experience on the Web. Its core features include intelligent command name completion and candidate rotation via Tab/Enter; providing parameter format guidance, ghost text hints, and a persistent popup; fixing the issue of an empty command directory in tool-opened sessions (subagents), supporting direct command execution and operations like archiving and copying via the header menu; and fixing command output anomalies and missing header buttons in empty conversations. The plugin uses the MIT license and requires Node.js 22 and the pnpm environment. It is installed to a local DSH source code checkout via the `link:` method and takes effect after building. It does not alter the underlying command definitions of DSH, but targets only...

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DSH ExpMem: Adds a Checkable Long-Term Memory Plugin for DeepSeek Harness

DSH ExpMem is an MIT-licensed community plugin for DeepSeek Harness, designed to address the issues of local storage and retrieval of long-term personal memory. It writes user habits, task experience, and engineering insights to local JSON files, preserves DSH Session as the raw word-for-word history layer, and does not duplicate Session events. The plugin adopts a layered memory architecture, supports prompting the Agent to retain persistent knowledge when context pressure is high, and performs retrieval sorting based on relevance, recency, and importance. Its core advantages include supporting auditable reflection (observations supported by citations, interruptible and resumable), maintaining a complete trust lifecycle from candidate to deprecated, and importing Markdown memories from Claude Code and Codex as candidate records with source evidence. The plugin runs lightweight, not...

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dsh-ssh-remote: OpenSSH remote workspace plugin for DSH

dsh-ssh-remote is a DeepSeek Harness (DSH) plugin developed by CrazyShout, designed to address the needs for file, shell, and terminal operations on remote machines. Its core advantage lies in reusing the local OpenSSH configuration to avoid repetitive maintenance of authentication and proxy strategies, while providing a stable remote execution boundary for DSH. The plugin supports discovering specific hosts from the local `~/.ssh/config` and adding remote workspaces via a standard interface. It utilizes a versioned helper to handle remote file read/write (featuring security mechanisms such as atomic publishing and version review), shell execution (supporting bounded output and reconnection), and terminal operations, while achieving process and PTY isolation on Linux via bubblewrap.

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dsh-deepseek-balance-widget: View AI balance in the dsh Web sidebar

dsh-deepseek-balance-widget is a dsh Web sidebar plugin maintained by crazy-L118, designed to centrally display the balances, daily consumption, and token usage of DeepSeek and MiMo, with an automatic refresh every 30 seconds. This plugin is based on the MIT license and requires Node.js >= 18. It is installed via the dsh plugin command (version 2.4.2 is recommended), and the dsh web service requires a complete restart after installation. Core features include a sidebar real-time entry and a details popup. The popup supports managing platforms, switching views, and adding or removing new platforms. DeepSeek users need to configure an API Key, and optionally configure a Platform Token to view detailed usage statistics and status during busy times.

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dsh-plugin-xquant: Integrating xquant quantitative research MCP into DeepSeek Harness

dsh-plugin-xquant is a DSH plugin maintained by codingDuan (MIT licensed), designed to seamlessly integrate the xquant quantitative research MCP into DeepSeek Harness, resolving the pain point of cumbersome configuration for external tools in dsh Web. After installation, users can directly query factor definitions, calculate factor time series, browse strategy logic, and view historical performance within dsh Web, organizing the results into readable research conclusions. This plugin is positioned as a research assistance tool and does not provide buy/sell recommendations or market forecasts. The prerequisite for use is configuring `XQUANT_API_KEY` in the dsh process environment; the plugin reads exclusively from environment variables and does not write to local files or perform uploads. It connects to the xquant.shop official MCP service by default and supports via...

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dsh-interview: AI Interview Practice Assistant in DeepSeek Harness Web

dsh-interview is a local-first AI interview practice assistant running within the DeepSeek Harness Web, adopting the MIT open-source license. It integrates interview practice into the dsh web workflow, supporting five modes: "Memorizing Common Interview Questions," "Mock Interview," "Resume Topic Prediction," "Scenario-based Questions," and "LeetCode Hot 100." The core workflow encompasses questioning, answering, AI scoring and feedback, knowledge explanation, and providing ready-to-express answers, while automatically saving data such as questions, answers, and summaries without requiring the deployment of an additional database. The plugin provides a visual workspace that supports searching, filtering, editing, and exporting practice records. Users require a Node.js 22.5+ environment and can install and enable the plugin via the dsh plugin command. This tool is suitable for job seekers in technical development roles to review theory, prepare for interviews, and practice algorithms.

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dsh-plugin-web-search-tavily: Add Tavily search backend for DSH

dsh-plugin-web-search-tavily is a DSH plugin bundle developed for DeepSeek Harness (DSH) agents. Its core functionality is to switch the underlying service of the built-in `web_search` tool to Tavily, while keeping the tool interface schema visible to the model unchanged. It achieves this goal by registering a `WebSearchProvider` to the `ctx.web` capability seam. The plugin supports configuration options such as `apiKey`, `baseURL`, `searchDepth`, `topic`, `includeAnswer`, and `numResults`. When `apiKey` is empty, the provider is in a "registered but unavailable" state. `available()`

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coder-wu/dsh-finance-data Plugin Description

This article introduces the DSH plugin `coder-wu/dsh-finance-data` based solely on verified information. It confirms that the repository owner is `coder-wu` and the GitHub URL is `https://github.com/coder-wu/dsh-finance-data`. Due to a failed README fetch and the absence of official documentation, this article is unable to provide specific details such as the core feature list, installation commands, typical usage, or applicable scenarios, nor does it confirm the existence of functions like "incrementally collecting financial data." The article advises users to avoid inferring usage methods based on the name. Before installing or enabling the plugin, it is essential to thoroughly examine the source code, license, dependencies, and permission scope to ensure compliance with local `dsh` environment requirements and security, thereby preventing the installation of sources with unclear origins or permissions.

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dsh-observability: Export OpenTelemetry traces for DeepSeek Harness sessions

dsh-observability is an MIT-licensed community plugin maintained by CodePrometheus, serving as the OpenTelemetry traces backend for DeepSeek Harness. By implementing the public telemetry Service Definition, it collapses turns, model steps, and tool calls within an Agent session into an OTLP span tree and sends them to a collector that accepts OTLP/HTTP. The plugin only observes the session flow and does not interfere with model requests. Core features include support for three modes: FULL, FEEDBACK_ONLY, and DISABLED (disabled by default), and adds GenAI semantics.

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dsh-generative-ui: Let DeepSeek Harness respond with live TSX

`dsh-generative-ui` is a client-side plugin for DeepSeek Harness designed to upgrade an Agent's plain text responses into a streamable real-time React interface. The plugin supports two presentation modes: Inline mode directly renders `ui4a/tsx` code blocks between conversational paragraphs, while Canvas mode opens a standalone interface in a side panel that persists across turns. Core features include continuous streaming rendering during model output, dynamic npm dependency resolution via `esm.sh`, sharing the host React instance, and light/dark theme adaptation based on application design tokens. Regarding installation, users can install the plugin via the `dsh plugin add` command from a registry, remote URL, or local path; however, it is important to note that the plugin does not support hot reloading, and `dsh` must be restarted after installation.

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dsh-deepseek-balance: Display DeepSeek balance and current session consumption below the DSH Web input box

dsh-deepseek-balance is a community plugin for DSH (DeepSeek Harness) designed to address the issue where DeepSeek account balances and current session consumption cannot be displayed directly in the Web interface. Version 0.2.3 of this plugin is released under the MIT license and utilizes an automatic refresh mechanism every 15 seconds to permanently display the balance and the estimated current session consumption based on the latest official pricing rules below the DSH Web input box. Its core capabilities include fetching balance data from the DeepSeek official API and supporting precise billing differentiation for deepseek-v4-flash and deepseek-v4-pro models as well as peak and off-peak hours. The API Key is parsed by the host side from the DSH credential database and does not enter the browser environment.

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dsh-web-search-multi: DeepSeek Harness Multi-source Web Search Plugin

`dsh-web-search-multi` is a multi-provider Web search plugin for DeepSeek Harness (DSH), designed to unify access, configuration, and fallback logic for different search engines. The plugin supports keyless direct connection engines such as 360, Bing, and Baidu, as well as providers including Tavily, Brave Search, Serper/Google, Bocha AI, and self-hosted SearXNG, and includes a built-in DuckDuckGo global fallback mechanism. It provides a visual "Multi-source Web Search" settings page via the DSH Web UI, supporting real-time connection testing and instant persistence. Credentials are securely stored in `~/.dsh/.credentials.yaml`, and general settings are saved to `~/.dsh/.d`.

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dsh-chat-tidy: Tidy up layout and tables for DeepSeek Harness Web conversation page

dsh-chat-tidy is an MIT-licensed pure style plugin maintained by ChuanTianML, optimized for the layout of the DeepSeek Harness (DSH) Web chat page. By adjusting font, spacing, headings, lists, dividers, blockquotes, and table styles, it renders Markdown tables with the appearance of native DSH components, significantly improving the reading experience. The plugin does not modify DSH's Markdown rendering, themes, tool calls, reasoning, or session behavior, nor does it initiate network requests or store any data, ensuring the security of model outputs and host data. It supports built-in light/dark themes and is compatible with dsh-skin, but it is recommended to avoid using it simultaneously with similar layout plugins such as dsh-ux to prevent conflicts. Installation can be done via `dsh plugin -

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dsh-codex-meter: The DeepSeek API usage page in DSH Settings → Usage

dsh-codex-meter is an MIT-licensed DSH plugin maintained by ChrisZhangWG, designed to integrate DeepSeek API usage information into the DSH `Settings → Usage` page, thereby reducing the frequency of platform switching for users. The plugin provides local visualizations of account balance, daily spending, token composition analysis, 7-day and monthly cost trends, and real-time API active status (Active/Idle). Its core features include reading the balance via `DEEPSEEK_API_KEY` and using `DEEPSEEK_PLATFORM_TOKEN` to retrieve official daily spending and trend data; if the token is invalid, it automatically falls back to local estimation. The plugin features 7-day usage...

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dsh-roleplay: DeepSeek Harness Roleplay, Character Cards, and Image Generation Plugin

dsh-roleplay is a DeepSeek Harness (DSH) plugin maintained by chinosk6, designed to integrate role-playing, character card management, and image generation capabilities into DSH's web profile. The plugin follows the MIT license and requires an environment running DSH 0.1.0-rc.6+, Node.js 22.19+, and pnpm 9+. Core features include support for role-playing style dialogue, interactive character card creation, and Tavern-compatible card generation and import, with support for importing cards from RP-Hub, as well as image generation via the official NAI interface, the ai.erp.sex third-party interface, or local Stable Diffusion WebUI. Installation is flexible and can be done via npm or...

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