Plugins

Unofficial Grok integration for eligible X Subscription, SuperGrok, or X Premium accounts: shared Grok CLI OAuth, chat with optional main-loop web/X search, and experimental image generation, image editing, and video generation (all media features disabled by default).

Migrate Codex (OpenAI Codex CLI / Desktop) MCP servers, skills, instructions, memory and session history into DeepSeek Harness with a visual panel or CLI, with dry-run previews and secrets migrated as-is.

Windows system-tray launcher for dsh web: console-free background start (VBS/powershell chain), a tray menu with open UI / logs / icon presets / launch-at-login / restart Harness, one-click install and update of the bundled dsh-plugin-usage-meter, and a dsh plugin half that starts the tray together with the harness.

Rewrites the Chinese copy of a market-installed plugin into English using a model already configured in the harness — automatically when the plugin is installed, then live-reloaded. Each file is translated in one whole-file pass, validated by a real parser where one exists (node --check for JavaScript, JSON and YAML parsers otherwise) and handed back to the model with the error for up to three repair attempts; files above 48 KB, or that never parse, fall back to a line-range pass that checks every returned line against the original for structure. Trigger phrases and locale tables can optionally be preserved rather than translated, and the untouched original is kept beside the file as a .zh.bak.

Named subagent roster: manage role entries (model, persona, tool filter, depth, background mode) from a hot-reloaded settings page; the model picks one with list_subagents and dispatches by id with delegate — foreground, background, or continuable.

Deep research as an agent mode: one reviewed loop that plans, researches in adaptive parallel rounds driven by the gaps the researchers themselves declare, synthesises a cited report and then reviews it adversarially, instead of a script the model rewrites per call. Questions the round budget never reached are named in the report rather than dropped.

Points web_search at a self-hosted SearXNG instance instead of the native route: pages until maxResults is satisfied, and reports degraded coverage when engines fail so a thin result set is not read as a thin web.

Selectable SearXNG, Brave, Tavily, Gemini Search Grounding, or Wikipedia backend for the native web_search tool, with Web settings and no implicit fallback.

Progressive tool disclosure: a deferred tool group costs one catalog line instead of its full schemas until the model loads it with tool_search, with one switch per group in Settings and each group measured against the live registry.

Network optimization for the DSH web UI: reduces transfer size with caching and compression to greatly speed up page loading, plus a connection-drop indicator and automatic reconnection. Ideal for users pursuing peak performance or using unstable networks.

Global proxy for DeepSeek Harness: route agent tools, model requests and web fetches through the Windows system proxy or a custom address with one persistent toggle, an editable settings card, and agent-visible proxy status.

Multi-lens structural analysis skill: adversarial-first analysis across 16 lenses in 4 categories with 10 structural tools, confidence calibration, and fact-bound layered output.

Off-peak message scheduler: turn on valley mode and the composer queues your messages until DeepSeek off-peak hours (half price), then auto-injects them into the session and gets replies. Native-look composer, hotkeys (Enter queue / ⌘+Enter send now / Esc exit), per-session toggle persisted across restarts.

Feishu/Lark IM channel for DeepSeek Harness agents with native thinking-process messages, approval cards, live goal and todo cards, workflow fan-out lines, session text search, and background job and subagent settlement notices. Access is bounded by the Feishu app's own visibility scope by design — anyone the app admits can drive the agent and answer its approvals unless the optional sender, group and approver allowlists are filled in.

Static security scanner for DSH plugins: read-only audit (exec, credentials, exfiltration, obfuscation, install scripts, bundle manifest) with a 0-100 risk score.

DeepSeek Harness bundle wiring the @forgeax/game MCP server, its bundled ForgeaX Skills, and a workspace guard into a DSH profile.

Wallpaper Engine integration for the dsh web GUI: scan the local WE library (Steam workshop 431960 + local projects) and use its wallpapers as the page background — image/video/web rendered natively, scene wallpapers as softened static previews — with a wallpaper-design panel (opacity, scope, blur, vignette, fps, parallax, carousel, theme linkage) and agent tools wallpaper_scan/list/set/config.

A marquee mood-light ring around the DSH web UI edge that reacts to session state, turning green while the agent works, pink when done, and yellow when something needs attention, with colors, ring width, rotation speed, and flash frequency configurable from the settings panel.

Windows desktop launcher bundle for DSH Web that creates a managed shortcut, then restarts DSH in the background and refreshes the existing browser page.

Replaces the Web GUI trajectory tab with a new-user-friendly round-by-round storyline, plain-language tool labels, category filters and fuzzy search.

Credential provider for DSH with password-protected AES-256-GCM storage, Argon2id key derivation (legacy scrypt v2 auto-upgrade), SHA3-256 integrity checks, and temporary runtime decryption.

Codex-style diff review in a floating panel: per-round session changes plus a git workspace view with stage/revert/commit/push and a history timeline.

A super-simplified LLM-wiki memory plugin: one index document (auto-loaded) + one markdown file per topic (read only when needed) — no dumping everything into the context and burning tokens. Simple and lightweight, painless to install/uninstall, and freely editable however you like.

Gated multi-agent pipeline for OpenSpec changes — six opx_* tools drive the phase state machine, two agent presets (developer and reviewer) carry implementation and review, and 23 bundled skills define the quality standards they are checked against; full mode runs analyze, implement, then tool, task and dimension-based quality review, while simple mode runs implement and one merged quality review.