Plugins

DeepTutor tutoring bridge: deep explanations, self-test questions, learning-path planning, personal knowledge-base search (RAG), and note archiving via deeptutor_run / deeptutor_kb / deeptutor_note tools.

Autonomous Douyin watching in a dedicated Edge browser on Windows (requires Node.js 22.13+): sampling decisions, frame storyboards, danmaku-aware comments, persona memory and a watch diary, all under daily viewing limits. Fork of LockyBee/dsh-douyin-agent — uninstall the upstream plugin before installing this one.

img2img-studio 的 GUI 插件（一个包两个面）：① 输入框里的图片编辑器（编号标记 / 移除背景 / 涂抹擦除 / 调整大小，支持键盘操作与裁切遮罩预览）；② 设置页「识图与生图」供应商面板（供应商目录选择 + 脚本扫描标注、账号库驱动 chatgpt-web 通道、每行测试/试跑/复制命令、保存前预览、余额探测；中/英双语），保存即写回两个 skill 的 scripts/.env

Bridges QQ into DeepSeek Harness over OneBot 11: private and group chats, on-device voice-to-text, image support, and ten interaction tools (poke, react, like, image, file, recall and more). Needs an OneBot 11 implementation such as NapCat running alongside.

Registers the minas-webdav MCP server as one stdio row, giving the agent 14 tools for a Xiaomi Smart Storage (MINAS) NAS without mounting it: list, stat, tree, find, du, df, cat, upload, download, mkdir, move, copy, delete and a capability probe. The Python package behind it is installed separately with pipx.

Per-session execution gears for the DSH composer: an OVERDRIVE toggle turns Turbo on for the current session only, the Fast and Max gears swap the agent's planning and verification policy and may lower the request's reasoning effort, and the Host keeps the authoritative mode plus per-turn latency, step count, tool calls and whether a verification command ran.

A whale-maid with a jar, sitting in the corner of your DSH window. She goes exploring on Bilibili for whatever you are into, ranks by like, coin and favourite rate rather than view count, and brings back pickled snacks that suit your taste. When a term runs dry she takes another route. Five picks go into the jar, and she tells you what each video is about. News-type axes keep only the last two weeks; game guides and music have no limit, and each axis decides for itself.

Vision-first Mac computer use, for when the accessibility tree is unavailable. Ships 11 desktop_* tools - window list, screenshots, OCR text targeting, numbered elements, coordinate clicks, typing, scrolling, drag - plus a Codex-style cursor overlay with spring animation. Clicks are delivered to the target process, so the real pointer never moves and nothing steals focus. In DSH it shows up as Mac Desktop Control with a settings page that checks the engine and the Screen Recording / Accessibility permissions, with a button that opens the matching System Settings pane. Works out of the box: the tarball bundles the dsh-cu engine and the overlay as prebuilt universal binaries (Apple silicon + Intel, macOS 11+, ad-hoc signed), compiled from the repo's Swift sources by the release workflow - no clone, no Xcode, no install.sh. The only setup is granting DeepSeek Harness Screen Recording and Accessibility once. macOS only; on Windows and Linux the plugin loads without registering the desktop tools.

Adds two UI surfaces: a composer image editor (numbered marks with per-mark instructions, background removal, brush-mask erase, resize with crop/padding preview, keyboard-accessible markers; results return as attachments plus a version-1 manifest) and a Settings → vision/generation provider panel (explicit provider picker, providerId normalization, ChatGPT-web accounts synced into channels, per-channel test/try-run/copy-command, script readiness scan, save validation with .env preview, probing that only disables on explicit quota errors, Chinese/English UI) that writes providers back to the skills .env files.

Requirements interview before work starts: judges whether a request is clear, asks focused questions when it is not, in strict mode denies editing tools until the user confirms a four-part summary in chat, and keeps confirmed preferences in two-layer memory.

Reusable Agent Team presets for DeepSeek Harness: a Settings page stores named Teams — a captain with its own prompt and tool allow-list, plus members carrying their own provider/model route, reasoning effort, prompt and tools — and a composer control applies one Team to the current Session, installing the captain prompt and registering the spawn_team_member, get_team_preset and update_team_preset tools.

Codex-style context window auto-management for DeepSeek Harness: a lossless rollover engine with zero summarization model calls, task-oriented handoff anchors, working notes that survive compaction, verbatim recall of archived windows, and a stale-notes gate that downgrades to an explicit warning instead of vouching for outdated notes. One-click composer button plus /smart-compact command, three-band automatic rollover, mandatory anchor sanitization; works out of the box with zero configuration.

Read-only Git and SVN code review using the current DSH agent model, with change previews, explicit context and approval-gated model requests.

Same-origin in mechanism with the two loudest lines in context compression. The code-skeleton gate follows the skeletonization approach of Headroom (Apache-2.0), whose published headline is 20% fewer tokens for coding agents and 60–95% fewer tokens for JSON, same answers. The estimator channel follows TokenPilot (arXiv:2606.17016), which reports up to 60% lower cost for long-session agents. Both figures are theirs, quoted as-is; this plugin ships no benchmark of its own and claims no reduction of its own. What it adds for DeepSeek Harness: choose a compression profile, set the Auto Compact trigger level and toggle code-skeleton compression from one settings section, with exact DeepSeek V4 tokenizer measurement, same-revision count verification, and fail-open behaviour that keeps the original tool results on unsupported models. Within a turn it supports skeletonized information compression with a low original-text retrieval rate; at the tail of a turn it supports a turn-tail intent summary implemented purely by content substitution; context content stays safe, and the whole process runs inside the official JSONL compression.

Supervises a local workbuddy2api gateway process and exposes its models as an LLM provider, reading context windows and reasoning efforts from the gateway's own model endpoint.

Portable agent knowledge base in plain OKF v0.2 Markdown: 13 wiki_* read/write tools, progressive disclosure, backlinks, gated writes via AGENTS.md rules, auto index/log maintenance, linting, and named multi-bundle switching (session-level or global).

Discord adapter that installs into a dsh web or desktop profile: @mentions and threads bind to sessions with streaming replies and live tool-activity rows, nine slash commands cover workspace binding, permission presets and model selection, and tool approvals and user questions are claimed by whichever of Discord or the web UI answers first, behind a deny-first guild allowlist.

Tool-call discipline for DeepSeek Harness with behavior prompts, failure-driven concurrency reduction and retry guidance, post-write checks with backup rollback, high-risk command gates, change summaries and verification reminders, advisory project-memory checks, configurable project-discipline reminders after compaction or at intervals, and compliance statistics.

Auto-resume for interrupted agent sessions: an ordered rule table routes by failure type (rate limit, quota, auth, context overflow, crashed orphan) to automatic backoff retry, model switch, resume after context compaction, or a stop-loss notification, with a visual rule editor and a full activity log.

Local code intelligence for DSH: Impact X-Ray visualizes potential change impact with inspectable source evidence and uncertainty; also provides symbol navigation, bounded Context Packs and ArkTS support.

eDEX-UI-style shell over the DSH web GUI: system-telemetry left bar with per-core CPU sparklines, encom-globe world-map right bar with up/down traffic chart, filesystem browser with file preview, and a terminal-styled composer that follows the active workspace.

Configures provider and model reasoning-effort mappings for DeepSeek Harness, with a grouped model picker and composer slider.

Register locally-defined custom agents as callable subagents in dsh: the main conversation invokes any agent by name via use_agent, each running as a real dsh subagent with its own persona. Supports breakpoint resume for interrupted runs.