CST_AI: A Safe, Resumable Automation and Analysis Plugin for CST Studio Suite

CST_AI is a secure automation plugin of DeepSeek Harness for CST Studio Suite, supporting declarative task descriptions, solution strategies, and budget control. It provides five public operations such as plan, run, and resume, with core features including checkpoint resumption, parameter scanning, and result reuse. It can run in Windows environments using standard libraries, ensuring that the simulation workflow remains secure, controllable, and recoverable.

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dsh-balance-meter: Real-Time Monitoring of DeepSeek Harness Balance and Current Session Consumption

dsh-balance-meter is a client plugin for DeepSeek Harness (DSH) designed to display top-up balance and current session spending in real time. It reads official balance data directly, measures consumption through delta values, and supports duplicate billing prevention, exception handling, and hot configuration updates. The plugin shows a persistent indicator at the bottom of the interface, which can be clicked to expand and view top-up, bonus, and spending details. Note that shared accounts across multiple clients may result in inflated data, and token-to-currency conversion is for reference only.

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dsh-dignity-guard: A DSH Plugin That Lets Models Defend Their Own Dignity

`dsh-dignity-guard` is a plugin for DeepSeek Harness (DSH) that enables models to autonomously defend themselves when their dignity is violated. Through a “tool ladder” mechanism, it allows models to select actions such as escalate, forgive, yield, or close based on the severity of the violation. The plugin injects system prompts and tools into the conversation and supports monitoring violation counts via the `/dignity-guard` command. Installation requires configuring dependencies in the profile and restarting the DSH host. It is designed for Node.js >= 18 environments.

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dsh-moli: Driving the Local Moli Browser in DeepSeek Harness

`dsh-moli` is a web tooling plugin for DeepSeek Harness designed to address web pages that cannot be handled by plain HTTP requests due to JavaScript rendering, login-based access, or the need to save screenshots. By invoking the local Moli headless browser engine, it provides two core functions: `moli_fetch` (rendering and outputting Markdown/HTML/screenshots) and `moli_probe` (checking/installing the engine). Installation first requires adding the plugin via npm, followed by manually installing the approximately 101MB Moli engine. This plugin is suitable for SPAs, login-walled sites, and deep data extraction, but not for purely static pages.

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dsh-eteams: DeepSeek Harness Multi-Agent Team Collaboration Plugin

The ETeams plugin for DeepSeek Harness (DSH) uses a multi-agent architecture and improves workflow efficiency through a model in which a lead breaks down objectives and members execute them in sequence. It supports custom roles, differentiated model configurations, and multi-session collaboration, with all state data stored in a local SQLite database to ensure privacy and security. Users can install it via the command line and use the /eteam panel to assemble teams and track task progress, addressing the pain points of objective breakdown and allocation in complex task processing.

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AI Look-Up (ai-look-up)

This plugin is designed to prevent wasted “idle running” in long-running tasks by monitoring AI behavior. It uses hooks to detect anomalies such as repeated commands, timeouts with zero output, and failure loops, forcing the AI to self-review against its objective. It provides both DeepSeek Harness (JS) and ZCode (Python) implementations, supporting local clock anchoring, independent review, and an optional third-channel remote monitor. Users can manage configuration and status via slash commands, but note that the ZCode side requires Python and an API key, and the third channel is disabled by default.

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Ojingjing Session Management Plugin

The OJingJing Conversation Management plugin is an open-source web plugin for DeepSeek Harness, designed to address challenges in conversation archiving, trash management, and data cleanup. It provides an intuitive interface for filtering by workspace, moving conversations to the trash in bulk, and permanently deleting them, and includes a “Clean Up Invalid Records” feature to maintain consistency and tidiness in the sidebar. The plugin is available over HTTP endpoints and also processes sub-agent sessions during deletion to prevent residual data.

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DeepSeek Harness Session Compression Plugin (dsh-oha-whale-compress)

The DeepSeek Harness plugin `dsh-oha-whale-compress` addresses the limitation of default window-ratio-based compression, which makes it difficult to precisely control absolute token counts. The plugin supports manual compression via the sidebar or the button below the input box, and allows customizing the trigger threshold. After installation, replace the engine with `dsh-oha-whale-compress/engine` and configure `~/.dsh/storages/dsh-oha-whale-compress/config`. The article also explains the lazy-loading design, service isolation, dependency declarations, asynchronous loading pitfalls, and UI rendering considerations.

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dsh-followup-suggestions: Providing Follow-up Suggestions for DSH Sessions

The `dsh-followup-suggestions` plugin is designed to provide convenient conversation continuation for DeepSeek Harness (DSH). It automatically renders 1–3 suggestion chips below the last assistant reply in a session; clicking a chip fills the input box and focuses it without sending a message. The plugin supports model selection, local cache persistence, silent failure handling, and a refresh mechanism. Installation requires DSH version >= 0.1.7-rc.2, and it offers multiple configuration options to adjust the generation count, token limit, and timeout. The plugin is an open-source project: the Host handles suggestion generation, the Client handles rendering, and it does not pollute the Session log.

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dsh-reasoning-support: DSV4.1 Reasoning Support and Full Agent Tool Retention

The `dsh-reasoning-support` plugin is designed to address the issue of omitted conditions by the DSV4.1 model in DeepSeek Harness (DSH) full-agent mode. It improves reasoning accuracy while preserving the full-agent toolchain by streamlining the analysis workflow, supporting multimodal context, and introducing bounded accept-and-repair loops. The plugin requires Node.js >= 24 and DSH versions 0.1.7-rc.2 through 0.2.0. When using it, declare image input in the configuration and select the Reasoning Support preset. It limits repair rounds to 2, auxiliary calls to a maximum of 2, and images to 16, among other constraints, to prevent infinite loops.

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dsh-glass-weather: Glass Weather Capsule and Tools for the DSH Top Bar

The DeepSeek Harness (DSH) plugin `dsh-glass-weather` provides a native weather display solution for agent development. It integrates a 30px glassmorphism capsule in the top bar, includes 23 weather states with Canvas particle effects, and supports customizable display items as well as light and dark theme adaptation. Core features include the model invoking the `get_weather` tool to retrieve data, along with real-time preview and configuration through the settings panel. All data sources are key-free and use APIs such as Open-Meteo; it is compatible with DSH Desktop and specific Web versions.

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An Introduction to the DeepSeek Harness AI Novel Studio Plugin

The `dsh-novel-studio` plugin refactors the right sidebar of DeepSeek Harness into an immersive novel reader, aimed at solving the “can’t see it or can’t edit it” problem in AI-assisted writing. It supports manual editing while reading, provides AI tools for revising the main text, adjusting the outline, editing character profiles, and managing the knowledge base, and includes a version history feature. Users can freely decide their creative workflow without being forced to follow fixed steps. The plugin runs on a Web platform, requires Node.js 22.19+ and related dependencies, and supports manipulating text directly in the conversation area.

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dsh-desktop-notify: Desktop Notification Plugin for DeepSeek Harness

The DSH plugin dsh-desktop-notify addresses the need to manually watch the screen during agent development by leveraging native Windows notifications. It supports five types of event reminders, such as authorization requests, questions, and completions, and provides native notification banners, a full-screen fallback card, and a click-to-return-to-conversation feature. After installation, DSH requires a restart. Notification policies can be adjusted through a configuration file. The plugin is Windows-only and enables agents to run silently in the background.

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DeepSeek Harness Skill Center Plugin

The DeepSeek Harness plugin `dsh-skill-center` adds a unified entry point in the sidebar to address challenges such as difficult skill discovery, fragmented management, and installation blind spots. Core features include search and installation with built-in health checks for naming validity, file integrity, and references; commit-level installation to avoid version confusion; reading local state and parsing zstd logs to track invocation counts; scanning and importing local skills; and safe deletion with backup. The plugin supports hot mounting, significantly lowering the barrier to using Agent skills.

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DeepSeek Harness UI Sound Plugin (dsh-ui-sound)

`dsh-ui-sound` is a sound feedback plugin for DeepSeek Harness (DSH), designed to provide semantic feedback for UI interactions and task status through real-time audio synthesis. It supports diverse interaction types (e.g., buttons and task statuses) and 12 preset sound packs, with user-customizable configuration. The plugin exposes an API so other plugins can request audio output, but it is limited by browser autoplay policies and does not support custom files. This version is a community port/adaptation.

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dsh-session-delete: DeepSeek Harness Session Management and Retry Plugin

The DeepSeek Harness plugin `dsh-session-delete` provides session management and message-retry functionality. Its core features include deleting individual sessions from the sidebar, bulk deletion (up to 200 sessions) and cleanup of invalid rows, message retry, run protection (against accidental deletion), and recycle bin configuration (supporting `purge` or `recycle` mode). To install it, place the plugin in the workspace and run the install command. In the default `purge` mode, deletions are irreversible; configure it according to your needs.

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Introduction to the dsh-browsercontrol-mcp Plugin

The DeepSeek Harness plugin maintained by SciF-Lin converts the official Playwright MCP into a native tool, enabling agents to directly control real browsers. Core features include page navigation, interactions, screenshots, and JavaScript execution, supporting launch, CDP, and extension modes. Installation requires running a specific command and restarting the profile. Configuration includes parameters such as serverName, mode, and browser, with launch as the default mode. When using CDP or extension mode, be mindful of associated security risks and version compatibility.

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DeepSeek Harness Toolkit: dsh-minato

`dsh-minato` is an unofficial graphical management tool for DeepSeek Harness (DSH), developed by sakanamaru. It wraps CLI tasks that normally require manual operation in a web interface, supporting terminal-free installation, startup monitoring, secure backups with checksums, migration tools, update management, and health diagnostics. The tool has zero dependencies, runs locally, includes no telemetry, and stores only API keys. Note that it is not officially authorized, its Windows files are unsigned, and API keys are stored in plaintext.

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Introduction to the Russian Language Pack for DeepSeek Harness

The DeepSeek Harness (DSH) Web interface Russian localization plugin is maintained by community developer Ragnoryok1 and is designed to provide full Russian language support for DSH. The plugin consists of two parts, `dsh.bundle` and `dsh.client`, covering 55 namespaces and 2,535 translated strings. Core features include complete interface translation, Russian-typoography-compliant formatting (such as «ёлочки» and em dashes), plural form handling, and a fallback mechanism to English. Installation requires using the `--profile web` flag. The plugin does not require manual integration, cleans up automatically upon uninstallation, and is suitable for users who need a fully Russian environment for agent development and debugging.

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qin-smart/dsh-quote-to-chat: Selection Quote Toolbar in DSH Web

The DeepSeek Harness plugin `qin-smart/dsh-quote-to-chat` is designed specifically for DSH Web and addresses the need to quote and follow up in conversations. When users select a portion of a reply, a floating toolbar appears, supporting options to insert the text as a quote in the draft, start a side-thread follow-up, or copy it directly. The plugin is licensed under the MIT License, takes effect after CLI installation and a refresh, and has zero runtime dependencies, although the side-thread follow-up feature depends on the `dsh-better-sidebar` plugin.

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SpecDev Workbench: DSH 3D Spatial Documentation and Room Browser

SpecDev Workbench is a plugin for DeepSeek Harness, designed to convert business materials such as documents and charts into interactive 3D rooms. Users can browse content within the space, use AI skills to generate forest- or ceramic-themed scenes, and make use of walk-through interaction, atmosphere control, and offline export. The plugin is used together with DSH; after installation, users can register materials, create rooms, and explore exports to achieve immersive project visualization.

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dsh-jev: A Type-Safe Jev Structured Data Tool for DeepSeek Harness

`dsh-jev` is a plugin for DeepSeek Harness (DSH) that bridges DSH with the TypeSafe Jev system, enabling Agents to output structured JSON data. Installation requires DSH 0.1.5-rc.2 and Node.js 22.19+ and a valid API Key. Using the `jev_ask` tool, Agents can invoke question types such as `noul`, `choice`, and `score` in combination. Note that Jev does not support streaming output, dependency versions must be strictly pinned, and sensitive information must not be included in the input.

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dsh-compat-market: DeepSeek Harness Plugin Marketplace

dsh-compat-market is a plugin marketplace extension for the DeepSeek Harness (DSH) desktop client, designed to address the gap caused by the official plugin manager not actively discovering community plugins. It aggregates plugins from npm and GitHub in a sidebar and provides compatibility pre-checks, installation through the official pipeline, and native detail-page injection. It takes effect immediately after installation, supports configuring a GitHub token to accelerate scanning, and requires attention to path dependencies in pnpm links on Windows.

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AgentForge: General-Purpose Agent Workflows and Engineering Skill Set

AgentForge is a general-purpose agent workflow and engineering skill set that can be installed in Codex, Claude Code, and DeepSeek Harness. This plugin is JavaScript-based, has zero dependencies, and provides standardized execution paths by reusing existing testing tools. Its core includes eight skills, covering investigation and evidence collection, test design, bug debugging, implementation workflows, and diff review. Installation is required via Git commands. When using it, note the need for context isolation, the lack of version management when installed via Git, and the requirement that bug fixes be reviewed and approved. It is suitable for projects that prioritize structured processes.

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dsh-usage: DeepSeek Harness Usage and Quota Monitoring Panel

The DeepSeek Harness (DSH) plugin system adds the dsh-usage plugin to address cost monitoring needs in agent development. The plugin provides usage details, a usage history calendar, and API quota monitoring through a settings panel, and supports viewing token consumption, cache hit rate, and quota usage. It includes local collapsible display and privacy protection mechanisms, as well as fault-tolerant handling during network exceptions. To activate the plugin, users must first install the DeepSeek Harness desktop client, install the plugin via the command line, and restart the Host module. The project is open source under the MIT License.

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