Plugins

Check the dsh plugins you already installed against a registry of verified packages: which ship a broken package, which are pinned to a dsh version that no longer exists, and which run code on your machine at install time. Drafts the issue that fixes each

Persistent image and locally compressed MP4 wallpaper for DeepSeek Harness with opacity, blur, and a fixed web origin.

Per-session system prompt injection for DSH: template library, per-session picker, default template for new sessions. 会话级系统提示词注入器：模板库、按会话选择、新会话默认模板。

Use one shared Playwright browser together with your DeepSeek Harness AI.

Automatically sends "continue" to recover from RATE_LIMIT (429) and QUOTA (insufficient_quota) errors. Per-session consecutive-failure counter (default 20, configurable 1-100), a toolbar on/off switch, and a settings-page card.

Delegate work to external coding agents (Claude Code / Codex CLI / Grok CLI) from DeepSeek Harness: a model-facing harness_call tool, @claude/@codex/@grok mentions, live progress cards with a thinking/tool timeline, and a details side panel.

DeepSeek Harness git development workbench: captures git context (branch, status, worktrees, stash, recent commits) into every session, asks which branch/worktree to develop in at session start, and switches branches / creates and manages worktrees throug

DeepSeek Harness (dsh) bundle for Bifrost: multi-language code intelligence over MCP.

Wallpaper Engine library as the DSH web GUI background — video/web/still wallpapers, rotation lists, search, resource monitor, bilingual UI.

Adds a "Work Roles" tab and a pixel-art office overlay to the DeepSeek Harness Web UI: 508 built-in role cards (The Agency 255 + agency-agents-zh 253) with search, EN/ZH toggle and department filter; draggable Canvas 2D pixel characters that stand, type and pace, with idle chat that can plug into AI. One-command npm install, no dsh source changes.

Native dsh (DeepSeek Harness) Cordis plugin adapter for vision-translation: grounds images into <vision-context> via the Python CLI (PROTOCOL v1). Spawns cli.py, never re-implements core logic.

Unified static-image generation router for DeepSeek Harness: one image_generate tool with standard parameters, config-driven OpenAI-compatible engine routing (OpenAI Images, Zhipu CogView, and any compatible endpoint) with health-aware fallback, durable w

Parallel cognitive runtime for DeepSeek Harness: heartbeat-scheduled shadow agents that review, fact-check, and work alongside the main agent

DeepSeek Harness (dsh) 右侧账户计量小框：多账户（DeepSeek / Kimi 等）余额 + DSH 内消费统计，当前接入账户高亮，消费口径标注「DSH 消耗」，设置页可视化账户配置。A right-side account meter for the DeepSeek Harness Web GUI: per-provider balance, DSH-local spend, active-account highlight and a visual account edito

Micro-surgical fault-tolerant code patching engine with 4-tier fuzzy matching for DeepSeek Harness (dsh).

Windows cross-platform compatibility, process tree termination, and path normalization patch for DeepSeek Harness (dsh).

Egress policy for DeepSeek Harness: a host allowlist on web_fetch and web_search enforced at connect time, audit-mode by default, with OCSF Network Activity records

Vendor parameter translation and deterministic JSON repair for DeepSeek Harness: the /translate command maps temperature/top_p/max_tokens/stop/system across 11 vendors, and the tools/post-execute repair layer (plus the fix_json tool) fixes broken JSON too

Cross-platform native desktop control tools for DeepSeek Harness (Windows first): screen_shot, screen_read (accessibility tree + pixel description for text-only models), click/type/scroll/key, and app_list/app_launch — every mutating action gated by appro

DeepSeek Harness 插件 — 通过读取企划书 / 半成品软件 / 资料预估特定模型的 token 消耗量并实时按各家定价计费

DeepSeek Harness adapter for Agent Research Copilot (ARC)

A typed, inference-capable ontology (TBox + ABox) plugin for DeepSeek Harness — durable domain knowledge the agent can define, assert against, and query under schema constraints.

DeepSeek Harness 社交插件：AI 代笔、默认匿名、逐条过审的观点交换网络。话题广场、话题内匿名对话。

DeepSeek Harness (DSH) plugin — inject context when user input or model output hits configured keywords, with toggleable/configurable rules and model-editable memory.