Plugins

Claude Science-style AIDD research workbench for DeepSeek Harness — ReAct research loop, versioned artifacts with provenance, and 17 skills for virtual screening, molecular generation, ADMET prediction, DTI modeling and model reproduction.

强度表是 DSH Web 开源插件：设置页按模型统计 token 用量（环形图、热力图、趋势），数据仅来自本地日志。一条命令安装，重启即用。 dsh-strength-meter: a DSH plugin. Settings shows per-model token usage (donut, heatmap, trend), local logs. One command, restart.

MCP client hub (stdio / Streamable HTTP / SSE) with a web console for DeepSeek Harness — manage MCP servers, agent skills, slash commands, project & global memory, and prompt sections.

Auto-reject unanswered permission requests with a model-visible timeout notice

Vision for text-only dsh models: paste an image and a configured multimodal model transcribes it to text automatically — transparent twin routing, an agent-callable read-image tool, no built-in keys or relay.

WeChat Mini Program automated testing for DeepSeek Harness (dsh): selector-addressed actions, build-freshness gates, geometry-first assertions that work on text-only models, and screenshot image blocks on vision routes. 微信小程序自动化测试 dsh 插件：选择器寻址、构建新鲜度门、面向纯文

Control a DeepSeek Harness agent from Feishu/Lark: send a task by DM, an agent runs it with your configured model and replies in the chat, and a feishu_send tool lets the agent push results. Uses lark-cli's WebSocket connection, so no public webhook is needed, and ships a resident launcher. Note: the plugin does not check who sent a message, so anyone who can DM the bot — by default, members of the Feishu tenant the app belongs to — can drive an agent running with the host's own model credentials and file permissions. Setup is not one `dsh plugin add`: `lark-cli` must be installed and authenticated once, and a Feishu self-built app with the permissions the README lists is required.

Surgical rewriting of the model-visible conversation history of a DSH session (surface replacement); edit reply and reasoning chain separately. 上下文手术刀：强制改写会话的模型可见历史，回复与思考链分开编辑。

Dynamic multimodal-to-text projection and cross-model vision bridge for DeepSeek Harness (dsh), allowing seamless hot-switching between vision models (Gemini/Claude) and text-only models (DeepSeek).

Anthropic Model Context Protocol (MCP) client bridge plugin for DeepSeek Harness (dsh).

Configurable model-request retry limit for DeepSeek Harness (Settings → General).

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

A DeepL-style translation surface for dsh: replaces the shell's root frame with a two-pane translator driven by a tool-less agent preset, keeping the shipped settings panel (models, providers, plugins) intact

FAL image generation for DeepSeek Harness: a generate_image tool backed by the FAL queue API (default model fal-ai/flux-2/klein/9b). Images render directly in the conversation, are saved to the workspace, and all settings are editable from the Web GUI.

dsh-shell for DeepSeek Harness: runs cmd / PowerShell commands on Windows (and bash-like shells on POSIX) with a bash-inspired safety model — timeouts, output truncation, exit codes, background jobs and a cwd allowlist

DeepSeek Harness (dsh) plugin for machine-wide token usage statistics — a Settings page with totals, a contribution heatmap, streaks, and a per-model breakdown. Reads session logs from every dsh home; no cost estimates.

LLMTR AI gateway provider for the DeepSeek Harness LLM seam: 170+ chat models and Türkiye-hosted LLMs behind one OpenAI-compatible key

Prompt optimizer in the composer: rewrites the draft into an eleven-section analytical prompt using the conversation, workspace files and the session's selected model, with one-click undo.

DeepSeek Harness bundle that exposes Model Context Protocol (MCP) servers — stdio, streamable HTTP and legacy SSE — as native Harness tools, with a settings UI, live status, auto-reconnect, and backup/restore via local files or WebDAV.

Spend gate for DeepSeek Harness: refuses over-budget model calls on the llm/stream waterfall, before they are billed. Auto-downgrade past a soft limit.

DeepSeek Harness 高峰期模型自动切换插件：高峰前自动切到指定替代模型，高峰后切回官方模型。· Auto-switch to an alternate model before DeepSeek peak hours and back to the official model afterwards. · 本插件由 AI 全权开发，作者无编程经验，请自行测试安全性；安装说明可能含 AI 幻觉。· Developed by AI; test at your own risk; install

Use a local TraeX coding agent as a DeepSeek Harness model provider over ACP.

A minimal Codex harness for GPT models that do not fit DSH's native interface, while remaining compatible with the DSH plugin ecosystem.