Plugins

Named, file-defined subagent roles for DeepSeek Harness: persona, subagent-only skills, tool permissions, an ordered model chain with failover, and derived groups.

A dsh plugin that replaces the built-in llm-pi-ai and llm-deepseek adapters, the model selector and the Models settings page with self-maintained versions, tracks upstream @earendil-works/pi-ai, and adds quota/balance lookups plus a provider management UI

gopkg fork：接入 WorkBuddy / WorkBuddy AI 模型，支持按模型选择上下文窗口与桌面客户端请求格式。WorkBuddy models for DSH with selectable context windows.

Model training stage — end-to-end analysis, model training, and estimation for asset pricing and machine learning research. Ships one skill.

Keeps a pool of models and routes every agent step to one of them with its reasoning effort set — configured by clicking in the composer, no JSON needed. The router takes over the composer's model cell, so one control shows the session's model and reasoning effort alongside the router's own settings. Three authorization scopes (model / effort / full) where a manual pick only counts in the scope that owns it, and in effort scope the router is bound to the one model you choose. Task presets with per-model weights, vision routing for image steps, session signals (active todo, context pressure, token budget, subagent depth), and an optional semantic task classifier. Thinking stays on, because DeepSeek rejects a thinking-enabled request whose history contains a tool call made with thinking off.

DeepSeek Harness Web GUI plugin: real-time spend for the current session, priced from per-model token rates and shown as a pill under the composer

Automatic tier-based model routing for DeepSeek Harness: a virtual `smart` model classifies each request by difficulty (hard / normal / easy) and by vision need, then delegates it to the models you already configured. 三级难度 + 视觉自动路由，虚拟 smart 模型零配置接入。

DSH plugin: matches a model you declared on a custom gateway to the capability metadata it should have — context window, output cap, reasoning levels and image support — by looking the bare model name up at runtime; the plugin never writes your settings document.

Replacement session-title provider that compresses oversized or code-heavy first prompts before calling the model (in the tested DSH version the built-in provider rejects inputs above 4096 bytes without a model call) and waits for a real task instead of titling a greeting. Titles use the session’s own provider and model by default and manual titles are protected; title rules cover a character cap, an optional date affix, style, language and exclusion words, plus a per-session lock. Also re-titles stored sessions in bulk, with a progress overlay that keeps running after Settings is closed.

Colors each DSH sidebar session title by state: unread (blue while the model is running, green once it has finished) and pinned (yellow, read from DSH's own pinned set), composed into one left-to-right gradient. Pinning, archiving and ordering stay with DSH itself — the plugin reimplements no pinning and rewrites no official bundle — and a settings section lists every unread session.

基因组尺度代谢模型（GEM）构建插件：输入细菌全基因组（蛋白FASTA，支持多质粒/多染色体），自动构建+验证+补洞+出报告（SBML + 模型卡），供 dsh-bio-genie 消费工具加载使用 | Genome-scale metabolic model builder for dsh

Anchored Standard preset with GPT Patch mode: task-aware first-request anchors using the bundled OpenAI Codex apply_patch instead of edit/write. Built for GPT/Codex models.

DeepSeek Harness Skills & MCPs Group Manager: group skills, filter the model skill catalog, toggle MCP servers, settings-page management UI

DSH plugin: sync model settings, plugin manifests, patch layers and lockfiles across devices through a private Git repository (manual push/pull; https+token or ssh public-key auth).

Official OpenAI account model connector for DeepSeek Harness

Make the model believe it is inside the Z.ai Code (Zhipu ZCode) agent environment: replaces the harness identity opener and injects a ZCode rules skeleton with a dynamic project section. 让模型认为自己处于智谱 ZCode Agent 环境。

Codex-style /reasoning command for DeepSeek Harness Web: select the reasoning effort of the current model from the slash menu

Composer polish: the model-select button shows a per-provider brand icon and collapses to icon-only under a narrow composer row (same mechanism as the built-in access-mode button), with a generic fallback icon for unrecognized/new providers.

ESLint Security SAST bundle and model-facing scan tool for DeepSeek Harness.

DSH plugin: inject per-model sampling parameters (top_p, top_k, min_p, repeat_penalty, presence_penalty, frequency_penalty) into every chat-completions request sent to a local llama.cpp / llama-server gateway.

智能体选择器：像模型选择器一样在输入框旁勾选委派目标+具体模型，把对话任务派给外部智能体（Codex CLI / WorkBuddy 内置模型活动价 automation 桥 / WorkBuddy 自定义模型直连 / Claude Code）执行，结果流回 DSH 对话。含 agent_dispatch 工具 + composer 两步下拉 + 设置面板 + 桥健康探活 + 反冒充出处凭证。

DSH session-log repair plugin: scan every stored session, detect a seq collision in the committed region or a torn trailing record, and repair it from a one-click Web UI, model tools, or the /dsh-session-log-repair command. Installing it also registers it

Unified management and invocation of external Agent CLIs in DSH, fully isolated from the user's native installs; preset Provider, model, reasoning effort, and permissions per CLI, callable directly or like native subagents.

OpenRouter free-models browser plugin (dual-face): fetch OpenRouter models, filter the free ones (price 0 or :free), list them newest-first in a Settings tab with local search and full model info, and create a ready-to-use DSH model config (settings.yaml