dsh-auto-chess：DSH Web 里的简化自走棋插件
`dsh-auto-chess` 是 `omdsh-dev` 开发的 MIT 许可 DSH Web 插件，旨在提供简化自走棋界面，用于观察大模型在固定规则下的决策逻辑。该插件支持人机对战（用户执蓝方）及双 AI 对弈模式，允许用户分别为蓝红方配置独立模型、编辑提示词，并选择 Off、High、Max 等思考档位，若模型不支持则自动回落默认设置。系统默认单次决策超时为 300000ms，输出上限 32000 token。每次 AI 决策后，用户可在面板查看完整推理文本；若发生非法操作或瞬时故障，系统会提示原因并在预算内自动重试。插件构建需执行 `pnpm run build`，并通过 `dsh
Read Moredsh-think-any-lang：在 DSH 中选择模型思考语言
DSH插件 `dsh-think-any-lang` 允许用户在Web设置中独立选择模型推理语言，使最终回复保持用户语言。该插件在 `Settings → General` 提供 `Thinking Language` 下拉选项，支持简体中文、英语等12种语言及关闭选项，选择结果持久化保存。其核心机制是通过 `systemPrompt.section` 注入由目标语言编写的思考指令，避免额外模型调用带来的延迟，实现零额外调用控制。安装需使用 `dsh plugin --profile <name> add github:lco117/dsh-think-any-lang` 命令，建议固定Com
Read Moredsh-fate-spectrum: Providing Deterministic BaZi and ZiWei Charting for AI Agents
dsh-fate-spectrum is a DeepSeek Harness plugin maintained by EchoUser005, which performs Four Pillars of Destiny and Purple Star Astrology chart calculations locally offline, outputting structured and reproducible destiny chart facts for Agent invocation. It supports dual-chart viewing, candidate charts for unknown hours, and supplementary questioning when information is insufficient. Version v0.1.0 can be installed via `dsh plugin add`. It is suitable for DSH users who require verifiable chart calculations rather than model-inferred Heavenly Stems and Earthly Branches.
Read MoreDSH WorkBuddy Connect: Integrating the WorkBuddy Desktop App Model into DeepSeek Harness
DSH WorkBuddy Connect is a DeepSeek Harness plugin maintained by corrinehu, which reuses the login state of the WorkBuddy desktop app to seamlessly integrate built-in models such as GLM, DeepSeek, and Kimi into DSH with zero configuration. It supports Web, Desktop, and TUI interfaces. This article introduces its features, installation commands, typical usage, macOS verification, known limitations such as unofficial API dependencies, and reminds users to review the source code and MIT license before installation.
Read MoreToolshrink: Semantic Compression for Agent Tool Outputs
toolshrink is a DeepSeek Harness plugin maintained by unclecode, designed to address the issue of information loss caused by truncating tool outputs from the beginning and end. It features 13 built-in content-aware reducers (for tests, diffs, JSON, builds, logs, etc.), with a fallback to size-based truncation when no match is found. It also annotates the omitted volume and optionally saves the full original text via spill. Installation is straightforward with a single dsh plugin command, and it can also be used as a Node.js library or a custom cut extension. Licensed under MIT, the current version is 0.1.0.
Read MoreMiraculous Standard: DeepSeek V4 Pro/Flash Unified Anchored Presets
Miraculous Standard is an agent preset provided by rinDBeans for DeepSeek Harness, unifying coverage across four combinations of V4 Pro/Flash with the official API and opencode-go. The initial request only exposes a Minimal toolset for trajectory anchoring. After upgrade, it unlocks the Pro resident set or Flash full directory based on the model, coupled with context-gate and epoch management to address compaction and resume anchoring issues. This article compiles installation commands, model configurations, and key items from agent.cordis.yml, while explaining applicable scenarios and known limitations.
Read Moredsh-image2-draw: Integrating gpt-image-2 Image Generation in DSH Dialogues
dsh-image2-draw is a DeepSeek Harness image generation plugin maintained by JuneLearn, which calls gpt-image-2 through a third-party OpenAI Images-compatible interface. It requires only the configuration of a baseURL and API Key. The plugin offers image2-generate for text-to-image generation and image2-edit for image editing, supporting continuous generation of 1–8 images, various sizes, and PNG/JPEG/WebP reference images. Results are previewed within the session and saved to the outputs/image2/ directory. API Keys are stored only in DSH credentials, with timeouts and 524 errors not automatically retried to prevent duplicate billing. It is suitable for on-the-spot image generation within DSH Web agent workflows. Before installation, please review the source code and MIT license, and evaluate the relay service independently.
Read Moredsh-agy-link: Integrating the Google Antigravity Model into DSH
dsh-agy-link is a DSH community plugin maintained by amlyczz that integrates Google Antigravity models into DeepSeek Harness via the official local agy CLI. It supports multi-account pool rotation, official 5-hour and 7-day dual bucket quota monitoring, GUI-based OAuth login without pasting, streaming output, thinking, tool cards, and token usage mapping. The installation command is `dsh plugin --profile web add dsh-agy-link`, requiring Node.js ≥ 24 and an installed agy CLI.
Read Moredsh-drop-to-path: Delivering Images and Files to Text-Only Models via Workspace Path
dsh-drop-to-path is a DSH Web plugin maintained by loudMore, designed to address the issue where pure text models cannot receive image attachments and DSH rejects non-image files. It retains the native attachment UI and, during sending, uploads images along with PDF/Office/archive/video/audio files to the workspace `.drops/` directory and appends their paths, bypassing the `attachment-error` pre-check. When used in conjunction with dsh-vision-toolkit, it enables the capability to view images by pasting screenshots. It supports drag-and-drop and pasting, and can be installed using the command `dsh plugin --profile web add`.
Read Moredsh-think-zh: Enabling Simplified Chinese for DSH Reasoning Process
The default thinking process of DeepSeek Harness is often in English, which is not conducive to Chinese users' comprehension of the reasoning chain. dsh-think-zh injects concise language instructions into the system prompt for each request: the thinking process is always in Simplified Chinese, the response follows the language of the query, and code and identifiers remain in their original language. The plugin is injected via the cordis section, with a token cost of approximately 75 characters per request. It supports disabling or customizing the instructions. Installation command: dsh plugin --profile web add github:Len7183/DSH-Think-zh. Licensed under MIT, maintained by Len7183.
Read Moreoh-my-dsh：DeepSeek Harness Curated Distribution
oh-my-dsh, maintained by amplifthq, is a curated distribution of DeepSeek Harness, overlaying out-of-the-box coding profiles, lazy MCP reuse, LSP navigation, SSRF-hardened web scraping, and approval-gated capabilities without forking the upstream. It supports both portable and npm installation channels, offering an omd Web UI and headless task mode. Users should be aware that it runs with dsh process privileges, and plugins activate within the same process as the harness.
Read Moredsh-doc: DeepSeek Harness Full-Local Document Parsing and Offline OCR
dsh-doc is an MIT-licensed plugin for DeepSeek Harness released by Sqhao-O. It locally parses PDFs, Office documents, images, and scanned files, outputting Markdown, plain text, or JSON without requiring Docker, HTTP services, or API keys. On Windows x64, it can mount pre-built Python + Xberg runtimes and offline Tesseract (for Chinese and English); other platforms fall back to the Node engine. The installation command is `dsh plugin --profile web add dsh-doc`. After configuring the engine via `cordis.patch.yml`, it can be used through `dshdoc_health` and `dshdoc_extract`.
Read Moredsh-vision-opencode: Configuring Switchable Vision Models for Text-Primary Master Models
dsh-vision-opencode is a DSH Web plugin that converts chat images into text via configurable vision models, enabling pure-text main models like DeepSeek to continue reasoning without switching the primary model. It supports image recognition model selection in the input box, vision settings, the vision_read_image tool, and vision-image-analysis skill, including a 60-second timeout and failure retry fallback. Installation: dsh plugin --profile web add -w github:poiuyjie/dsh-vision-opencode. MIT license, maintained by poiuyjie.
Read Moredsh-search-boost: Enhancing Multi-Engine Search and In-Depth Research for DSH
dsh-search-boost is a bundle plugin developed by Mr-remon219 for DeepSeek Harness, enhancing the built-in web_search/web_fetch with multi-engine integrated search, X search, page fetching, and deep research capabilities. It supports both free and API dual search layers, enabling zero-configuration parallel retrieval via Bing/DDG/Yahoo/Exa-free, with optional integration for Tavily/Brave/Exa. Installation command: dsh plugin --profile web add dsh-search-boost.
Read Moredsh-plan-graph: Visualizing Session Tool Calls as Interactive Flowcharts
dsh-plan-graph is an out-of-tree plugin for DeepSeek Harness maintained by HR2AY (MIT, 0.3.0). It adds a Plan Graph tab to the session view, rendering tool calls and messages as a pannable and zoomable flowchart. The plugin supports coloring by state, hiding tool calls, grouping by turn, favorites (with localStorage persistence), a right-click context menu for nodes, and locating within the conversation area. Installation can be done via `dsh plugin add` from a local directory, GitHub source (requires `allowBuilds`), tarball, or npm; before starting, you can use `--dump-config` to verify layer loading. It is designed for DSH developers who need to visualize agent call chains; before installation, please review the source code, as the plugin runs with the permissions of the dsh process.
Read Moredsh-advisor: Mounting Independent Review Sub-Models for DSH Sessions
dsh-advisor is a DSH plugin maintained by omdsh-dev that attaches an independent review model to each session, passively observes the main transcript, and injects suggestions categorized as nit, concern, or blocker after each stepped turn. The plugin is advisory-only and does not approve or reject actions on behalf of the main model. It supports a web Settings Advisor card and the `dsh-tui /advisor` command, and can be enabled by configuring the provider and model in `settings.yaml`.
Read Moredsh-codex-oauth: Accessing DSH's GPT, Image Generation, and Web Search via ChatGPT/Codex Subscription
@wnjxyk/dsh-codex-oauth is a DeepSeek Harness Web plugin maintained by WNJXYK. It binds ChatGPT/Codex subscriptions via OAuth, enabling the openai-codex model, generate_image for image creation, and web_search for internet searches, while displaying subscription quotas in the interface. It supports browser and device code login, requiring no configuration by default. Optional settings include a custom Cordis credential path and port. Verified on DSH 0.1.0-rc.6 under the MIT license. Installation: `dsh plugin --profile web add -w @wnjxyk/dsh-codex-oauth@latest`. Note: This relies on non-public Codex interfaces, so users should independently assess potential risks from protocol changes or account issues.
Read Moredsh-provider-model-configurator: Centralized Management of Provider Model Entries in DSH WebUI
dsh-provider-model-configurator is a DSH Web plugin maintained by LiangYin233. It provides centralized viewing, creation, editing, copying, and deletion of provider model entries on the "Model Pro" settings page, covering context windows, maximum output, input modality, reasoning tiers, and compat compatibility switches. It supports one-click form filling from llm-pi-ai presets or other configured providers, and explains the snapshot behavior of catalog providers. Installation requires the command `dsh plugin --profile web add`, with version v0.3.9 as an example, under the MIT license.
Read Moredsh-vision-proxy: DeepSeek Plain Text Models Can Also Recognize Images in GUIs
dsh-vision-proxy is a model inference plugin (v0.4.1, MIT) developed by Flyvhidbwo for DeepSeek Harness. It registers the deepseek-vision route, translating GUI-attached images into text via a VLM before passing them to DeepSeek for responses, enabling pure text models like V4-Pro to recognize images. By default, it can use the official deepseek-v4-flash-vision-exp, and it also supports Bailian, Zhipu, OpenRouter, and automatic detection of local Ollama. The installation command is dsh plugin --profile web add dsh-vision-proxy; after selection, choose DeepSeek + automatic image recognition, and you can paste images for conversation.
Read Moredsh-llm-fallbacks: Configuring Backup Model Chains for DSH Agents When LLM Fails
dsh-llm-fallbacks is a DSH model inference plugin maintained by omdsh-dev. When an agent's LLM request fails due to retry exhaustion, authentication, quota, or rate limiting, it automatically switches according to the current role's provider/model fallback chain and continues the current step on the target model. It supports 24-hour rootChain, time-based rotation, and sub-agent role rules, with a shared fallbacks configuration for both the web interface and dsh-tui. Installation: dsh plugin --profile web|dsh-tui add dsh-llm-fallbacks. It must be explicitly enabled with enabled: true, and the chain must end with the official V4 Default model.
Read Moredsh-media-skills: Enhancing DeepSeek Harness with Free Image Recognition and Generation
dsh-media-skills is a DSH plugin maintained by MJorgin (MIT, v0.3.0), supporting rc.7/rc.8/v0.1.1-rc.x. It offers automatic captioning for stickers, vision-review for image reading, and media-tools for image generation. The vision routing includes GLM-4V-Flash and DeepSeek-V4-Flash-Vision-Exp, while image generation utilizes SenseNova U1 Fast and Kolors. API keys are not stored in the repository, and the installation command is `dsh plugin --profile <name> add github:MJorgin/dsh-media-skills`.
Read Moredsh-routing-suite: Adding Selectable Intelligent Routing Modes for DeepSeek Harness
dsh-routing-suite is a DSH community plugin maintained by dragonbaba (v0.1.2, MIT). It adds an "Intelligent Routing Mode" to the mode menu while preserving the Standard preset persona, context, and full tool directory. It supports three strategies: auto, inspect-first, and direct, which guide tasks by checking before modifying, or implementing directly and then verifying. It does not make additional model requests, nor does it read/write files or execute commands. The guide covers desktop and CLI installation, manual preset copying, configuration options, applicable scenarios, and security boundaries.
Read Moredsh-quant: AI-native Quantification Toolkit for DSH
dsh-quant is a DSH quant plugin maintained by pengpengyi92, offering 59 quant_* tools that cover six domains: data, factors, ML, risk control, execution, and ecosystem. It connects end-to-end research through the PDAT→PET pipeline. Primarily designed for use with agents, the plugin is implemented in TypeScript with zero runtime dependencies, installed via npm, and enabled in cordis.yml. This article introduces its module paradigm, core capabilities, and usage instructions, while also explaining applicable scenarios and security considerations.
Read Moredsh-user-experience: Conducting Frontend UX Audits from the Target User's Perspective
dsh-user-experience is a DeepSeek Harness plugin maintained by DietCokewithSugar, driven by target user personas to guide UX walkthroughs during development. It scans frontend source code such as React and Vue 3, optionally incorporating browser evidence, and uses natural language reports to pinpoint experience issues while generating verifiable optimization recommendations. It also supports automatic re-checks after code modifications. Installation command: dsh plugin --profile web add dsh-user-experience@0.4.2.
Read Moredsh-llm-codebuddy: Integrating WorkBuddy API and CodeBuddy China Region Model into DSH
dsh-llm-codebuddy is a DSH community plugin maintained by Axiaohungry, which adds the CodeBuddy China Region Provider to DeepSeek Harness. It supports two authentication methods: WorkBuddy API Key and CodeBuddy China site token. The plugin allows users to obtain and edit the model directory via the WebUI and configure thinking settings. It can be installed independently without modifying the DSH global directory and has been verified in DSH 0.1.0-rc.6. It is suitable for developers who only have WorkBuddy credits or a CodeBuddy account and need to call CodeBuddy models within DSH.
Read Moredsh-codex-subscription: Direct Access to ChatGPT/Codex Subscription via DSH
dsh-codex-subscription is the DeepSeek Harness model inference plugin maintained by WSL043. It integrates the Codex subscription model into DSH via ChatGPT OAuth, eliminating the need for an OpenAI API Key or Codex CLI. It offers genuine quota, search routing, Fast mode, and Beta image generation. The article introduces the plugin's positioning, core capabilities, official installation commands (dsh plugin / npx / Windows scripts), and activation steps, along with applicable scenarios and security considerations.
Read Moredsh-files: DSH Session File Upload and Document Reading Plugin
dsh-files is a DeepSeek Harness dual-sided plugin maintained by taxueseek. With a single line of cordis configuration, it provides paperclip/folder/drag-and-drop uploads, session-isolated storage, and colorful file cards for dsh web. It reads text/PDF/DOCX/XLSX files via the read_document tool based on content sniffing, accompanied by LRU caching and pagination. JPEG/PNG/WebP/GIF files are processed through the harness core attachment pipeline, supporting native image viewing in vision models. Install command: dsh plugin --profile web add dsh-files. Public network deployment requires trustedHosts configuration. Licensed under MIT, version v0.4.0.
Read MoreCustom-First Control Prompt: Injecting System Segments and Reference Dialogues Before Persona
@wm-coders/dsh-custom-first-control-prompt is a DSH deployment-side prompt prefix plugin maintained by WM-CODER. It registers ordered system prompt segments before the persona through sections and prepends user/assistant reference conversations as real alternating messages to each ordinary dialogue request via history, intercepting through llm/stream with zero session log writing. The static content facilitates prefix KV cache reuse. Installation is done via `dsh plugin --profile web add`, with configuration written to `cordis.patch.yml` for targeted overrides or saved through the panel. It is suitable for scenarios requiring unified deployment rules and reference conversations; note the token duplication overhead, that it takes effect after a restart, and consider the plugin process permissions.
Read Moredsh-lark: Directly Interact with DeepSeek Harness Agent in Feishu / Lark
@sugarforever/dsh-lark is a community-maintained DeepSeek Harness plugin for Feishu / Lark. It receives messages via WebSocket long connection, eliminating the need for public webhooks, and maps Feishu single chats, group chats, and topics to Harness Sessions, utilizing pre-configured models, tools, and Agent Presets. The article introduces the runtime requirements, Feishu app configuration, npm installation commands, Settings and patch configuration methods, as well as typical usage scenarios such as single chats, group chats, and whitelists, along with deployment considerations.
Read Moredeepseek-harness-workbench-plugin: Integrating Dialogues, Editors, and Terminals into a Unified Workbench within the DSH Web UI
The dsh-workbench-plugin maintained by loadingvx provides a three-column workspace for the DeepSeek Harness Web UI: conversation on the left, an editor and intelligent terminal in the center, and files/Git/usage/Ultra Slash on the right. It supports Agent Control Plane execution traces, Canvas React previews, slash commands without interrupting the conversation round, AI terminal assistance, and streaming AI message submissions. Installation requires specifying the version: dsh plugin --profile web add dsh-workbench-plugin@0.1.31. After restarting dsh web, a new session can be started to use it. MIT license, npm latest version 0.1.31.
Read Morepicturereader: Adding Local Image Recognition Capability to the Pure Text DSH Model
picturereader is a DSH model inference plugin (v3.2.0) maintained by jing-hy. It enables pure-text models to achieve native thumbnails through a visual twin adapter, converting images into structured textual evidence using local tools such as image_scan and image_ocr. It supports three routing modes—privacy, intelligence, and rigor—and an optional external VLM. Additionally, it includes document_to_image for converting documents to images and image_edit for local image editing. It runs entirely locally by default and is licensed under MIT.
Read Moredsh-deepread: Evidence-First Deep Reading for AI Agents
DeepRead (xiehuan123/dsh-deepread) is an evidence-first deep reading plugin within the DSH ecosystem. It extracts traceable claims, evidence, confidence scores, and knowledge maps from sources such as articles, PDFs, and books. It offers five modes: quick, deep, map, Feynman, and book, and supports two forms: Portable Agent Skill and Host plugin. The Host version includes PDF extraction, batch comparison, cost preview, background job progress, and HTML/XMind export. Installation command: npx skills@latest add xiehuan123/dsh-deepread or dsh plugin --profile web add dsh-deepread. Licensed under MIT, requires Node ^22.19 or >=24.
Read Moredsh-claude-provider: Configuring and Discovering Models for DeepSeek Harness with Claude Provider
@mofeng2223/dsh-claude-provider offers a standalone Claude Provider type and Anthropic Messages format for DeepSeek Harness. DSH 0.1.1-rc.1 natively supports Claude reasoning-effort, so this plugin no longer intercepts requests. Instead, it writes settings such as reasoning level into the settings.yaml file during front-end saving. It also complements the GET /v1/models endpoint for model discovery, sets default context and output values for known Claude models, and provides three reasoning modes: five-level, four-level, and toggle. Installation: npx @deepseek-ai/dsh plugin --profile web|headless add @mofeng2223/dsh-claude-provider. Licensed under MIT, maintained by MoFeng2223.
Read MoreBillion-Context-DSH: Empowering Models to Decide When to Compress Context
Billion-context-dsh provides an Active Context Pruning backend for DeepSeek Harness, where the model determines when to compress and restore context through the compress, decompress, search_context, and acp_status functions. Ported from billion-context-pi and reusing acp-kernel, it can be installed via the bundle command: dsh plugin --profile web add billion-context-dsh. Version v0.2.13 (beta) is suitable for long conversation and long task scenarios.
Read Moredsh-AuthInOne: Complete Provider Login, Model Switching, and Usage Statistics within DSH
dsh-AuthInOne is a DeepSeek Harness community plugin (MIT, v0.2.0-alpha.4) maintained by Stormycry-cryp. It integrates Provider/account login, API Key and custom OpenAI-compatible configurations, future session default models, visual fallback for pure-text models, and cross-session token and cost statistics into the native Models and Usage settings. OpenAI Codex serves as the stable pathway, while Kimi Code, xAI, Anthropic, and others are experimentally compatible. A single command via `pnpm dlx` enables web installation on the same port without modifying the DSH core. It is suitable for developers who need to manage authentication, models, and usage uniformly within DSH. Before installation, please review the source code, as the plugin runs with the DSH process permissions.
Read Moredsh-vision: Supplementing DeepSeek Harness with Near-Native Image Understanding
dsh-vision is a DeepSeek Harness plugin (MIT, v0.1.2) maintained by oil-oil, supporting rc.6/rc.7. When the main model is vision-capable, it transmits images directly; for text-only models, a separate visual backend observes the images and injects untrusted context, with fallback to macOS Vision or Tesseract when the cloud backend is unavailable. Backends such as ZenMux and Model Studio can be configured via the Vision Recognition card or settings.yaml, and it is compatible with see-skill. Installation: npx @deepseek-ai/dsh plugin --profile web add github:oil-oil/dsh-vision.
Read Moredsh-commandcode-provider: Integrating Command Code Models in DeepSeek Harness
dsh-commandcode-provider is a community LLM provider plugin maintained by Mars-Sea, which registers Command Code as the commandcode route for DSH. The plugin provides a real-time model directory, reasoning-effort support, authorization and usage cards on the Settings page, automatic multi-account rotation, and a Command Code card on the Models page. The installation command is `dsh plugin --profile web add @mars-sea/dsh-commandcode-provider@latest`, and a Command Code API key is required to be prepared by the user. It is licensed under the MIT License.
Read Moredsh-reasoning-effort: Adding a Codex-style Model and Reasoning Intensity Slider to DSH
dsh-reasoning-effort is a DSH Web plugin maintained by HanaAyane, providing a Codex-style model and reasoning intensity slider below the input box. The slider levels automatically adapt based on the `reasoning.efforts` setting in the model directory and synchronize with the `/model` command. It supports light and dark themes, custom provider level guidelines, and a dismissible "big fat fish" slider button. The installation command is `dsh plugin --profile web add github:HanaAyane/dsh-reasoning-effort#main`, requiring a Web Host restart to take effect. It targets DSH 0.1.0-rc.6 and is open-sourced under the MIT license.
Read MoreModLens: Augmenting Pure Text Models with Visual Capabilities
ModLens is a DSH vision plugin maintained by liustack (MIT, v3.25.0). After pasting an image, an independent vision engine generates structured JSON evidence for OCR, layout, and semantics, which can be used by pure text models like DeepSeek and GLM for answering. It supports both direct pasting and the (modlens vision) model paths, with six built-in providers and the ability to reuse local CLI login states. DSH installation command: npx -y @deepseek-ai/dsh plugin --profile web add @liustack/modlens@3.25.0.
Read MoreTokenLedger: Tracking DeepSeek Harness Token Usage Per Station and Project
TokenLedger is a DSH web plugin maintained by zh667, which automatically attributes token usage to actual relay stations and working directories without any configuration. It supports multiple relay balances/subscription quotas, usage heatmaps, cost estimation, and CSV export. This article introduces its positioning, core capabilities, installation commands, and typical usage, while also explaining the attributes of the community directory and security considerations.
Read MoreDirect Image Generation in DeepSeek Harness: Getting Started with the dsh-image-gen Plugin
dsh-image-gen is an open-source DeepSeek Harness image generation plugin by shanliuling, which supports direct image generation via the generate_image tool within web dialogs. It is compatible with multiple providers including Gemini, OpenAI, Volcano Ark Seedream, and Tongyi Wanxiang, and comes with built-in gallery management and workspace persistence. This article covers installation commands, API Key configuration, typical usage, as well as plugin permissions and security considerations.
Read Moredsh-plugin-subscriptions: Integrate ChatGPT, Claude, and Grok into DSH via Subscription Accounts, No API Key Required
dsh-plugin-subscriptions is a DeepSeek Harness model inference plugin maintained by V1ki. It bridges ChatGPT (Codex), Claude, Grok, and GitHub Copilot subscriptions into DSH's LLM Provider via a Web-based OAuth interface, eliminating the need for API keys. The plugin supports a real-time model catalog, subscription usage display, inference level and Codex speed switching, and includes tools such as x_search, image_generate, and video_generate. This article introduces its positioning, installation commands, and typical usage, while also reminding users about plugin permissions and compliance considerations.
Read MorePaste Images and View: Getting Started with the DeepSeek Harness Visual Plugin dsh-vision-toolkit
dsh-vision-toolkit is a vision toolkit developed by Anionex for DeepSeek Harness, built upon agent-vision-toolkit, enabling pure text models to support image-based Q&A, long screenshot OCR, UI reconstruction, and pixel comparison. This article introduces its core tools, installation methods via npm/GitHub, usage of vision-skills, and configuration considerations, with data cross-verified from SkillHub and GitHub.
Read MoreGive Pure Text DeepSeek Harness Agent Eyes with dsh-vision-router
dsh-vision-router is a DeepSeek Harness vision routing plugin maintained by ysr666: the vision model serves only as the eyes, while DeepSeek continues reasoning. It features a built-in key-free OVH vision link and includes 14 pixel-level tools (Q&A, localization, cropping, pixel comparison, OCR, etc.). With a one-command installation, you can click "👁 Vision" before sending an image to perform multi-step image recognition just like using regular tools. This article verifies the installation command, tool list, and usage notes based on the SkillHub directory page and GitHub README.
Read More